Elementary Statistics Using Excel (6th Edition)

Chapter 10

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No. ; A null value of the linear correlation ... more

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No. ; It is known that correlation does not imply ... more

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The picture (a) suggests a very strong negative ... more

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Yes, there is evidence of a correlation.It is ... more

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No, there is not sufficient evidence of ... more

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No, there is not sufficient evidence of ... more

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Yes, there is sufficient evidence of correlation... more

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; First, we use the given data and draw a scatter... more

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; First, we use the given data and draw a scatter... more

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 r = 0.992. Critical value is 0.666. There is ... more

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; First, we use the given data and draw a scatter... more

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r = 0.591. Critical value is 0.878. There is not ... more

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r = 0.827. Critical value is 0.878. There is not ... more

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r = -0.959. Critical value is 0.878. There is ... more

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r = 0.998. Critical value is 0.602. There is ... more

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r = -0.288. Critical value is 0.576. There is not ... more

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r = 0.874. Critical value is 0.707. There is ... more

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r = 0.874. Critical value is 0.707. There is ... more

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r = 0.341. Critical value is 0.666. There is not ... more

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r = 0.828. Critical value is 0.811. There is ... more

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r = 0.113. Critical value is 0.532. There is not ... more

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r = 1.000. Critical value is 0.707. There is ... more

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r = 0.978. Critical value is 0.707. There is not ... more

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r = 0.702. Critical value is approximately 0.420. ... more

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r = 0.702. Critical value is approximately 0.420. ... more

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r = 0.594. Critical value is 0.456. There is ... more

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r = 0.706. Critical value is 0.456. There is ... more

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r = 0.319. Critical value 0.267. There is ... more

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r = -0.008. Critical value 100, if n = 600 and ... more

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; In the formula for r we will use n = 27, so ... more

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The first equation represents the regression line ... more

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They have the same sign.If r > 0, then the ... more

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= 5.9. ; Using the given information, we are going... more

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= 190.35 lb. ; Using the given information, we are... more

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= 92.0 kg. ; Using the given information, we are ... more

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= 37.3 years. ; Using the given information, we ... more

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The equation of the regression line is: = 3.00 + 0... more

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The equation of the regression line is: = 3.00 + 0... more

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The equation of the regression line is: = -8.443... more

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The equation of the regression line is:= 90.19 + 0... more

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The equation of the regression line is: = -0.0111... more

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The equation of the regression line is:= -0.290 + ... more

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The equation of the regression line is: = 125.407... more

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The equation of the regression line is:= 85.150 + ... more

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The equation of the regression line is: = 16.491... more

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The equation of the regression line is The best ... more

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The equation of the regression line is .ation. The... more

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The equation of the regression line is .  The best... more

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The equation of the regression line is . The best ... more

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The equation of the regression line is .  The best... more

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The equation of the regression line is   The best ... more

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The equation of the regression line is  .  The ... more

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The equation of the regression line is .  The best... more

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The equation of the regression line is .  The best... more

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The equation of the regression line is .  The best... more

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The equation of the regression line is .  The best... more

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The equation of the regression line is .  The best... more

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The equation of the regression line is .  The best... more

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The equation of the regression line is . The best ... more

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The equation of the regression line is . The best ... more

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The value of gauges the difference between the ... more

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The prediction interval contains the value of the ... more

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; the variation in weight can be explained in a ... more

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.There is no prediction interval because the ... more

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; 76.4% of the variation is explained by the ... more

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; 98.4% of the variation in price is explained by ... more

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; 78.3% of the variation in abdomen circumference ... more

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; 61.3% of the variation in weight is explained by... more

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; there is enough information to support a claim ... more

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72.3%. ; Find . ; 72.3% of the variation in weight... more

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70.5 manatees. ; Since there is a significant ... more

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;The interval is correct if the actual number of ... more

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; The prediction interval for a given value is... more

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; The prediction interval for a given value is... more

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(61.1, 106.8). ; The prediction interval for a ... more

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; The prediction interval for a given value is... more

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a. 10,601.82;b. 68.9052;c. ; a. The explained ... more

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a. 3,213.20;b. 1,087.19;c. ; a. The explained ... more

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a. 352.70;b. 109.37;c. ; a. The explained ... more

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a. 8,880.26;b. 991.15;c. ; a. The explained ... more

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; Iit is known that the equation of the ... more

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The response variable is mass and the predictor ... more

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No, it is better to use less predictor variables... more

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The adjusted does not get inflated simply by ... more

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92.8% of the variation in weights can be explained... more

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; There are two predictor variables, so that the ... more

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No, the values of (0.3649) and adjusted (0.3552... more

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70 in; The multiple regression equation is not a ... more

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; It has the highest . ; There are three one-... more

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WT/HWY; it has the highest . ; There are three two... more

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because it has a that is not significantly ... more

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.The multiple regression equation is not a good ... more

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The optimal regression equation for predicting the... more

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The best regression equation for predicting the ... more

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The best regression equation for predicting the ... more

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The best regression equation for predicting the ... more

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Claim : Reject and keep  ;Claim : Reject and ... more

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, and . ; A confidence interval for the regression... more

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Quadratic model .  . ; The relationship between ... more

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Quadratic model.It’s not possible to make an ... more

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25.5%; the model does not appear to be very useful... more

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The points are scattered around the prediction ... more

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; Quadratic model .It appears that the quadratic ... more

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The scatter plot is:Power model . ; It appears ... more

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The scatter plot is:Exponential model . ; It ... more

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The scatter plot is:Logarithmic model . ; It ... more

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The scatter plot is:Logarithmic model . ; It ... more

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The scatter plot is:Quadratic model .The projected... more

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The scatter plot is:Logarithmic model . ; It ... more

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; It appears that the power model is the best fit... more

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The scatter plot is: Power model .The predicted ... more

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The scatter plot is: Logarithmic model . It is not... more

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The scatter plot is: Quadratic model . The ... more

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The scatter plot is: Quadratic model . The ... more

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There is not sufficient evidence to support the ... more

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There is no change in any of these values. ; When ... more

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There is no change in the value of r. ; The ratios... more

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It should be a kind of an error somewhere. ; The ... more

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92.6, the mean of the five sample burglary counts... more

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123.33, by using the regression equation. ; For a ... more

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24.9%. ; To find the proportion of variation in ... more

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If two variables are not linear correlated, doesn’... more

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Although there is a correlation between the two ... more

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; The dots in the scatterplot appear to describe ... more

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There is not sufficient evidence to support the ... more

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There is sufficient evidence to support the claim ... more

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There is sufficient evidence to support the claim ... more

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There is not sufficient evidence to warrant the ... more

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.There is a 95% confidence that the interval from ... more

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There is sufficient evidence to support the claim ... more

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years, years,   . ; The mean of the frequency ... more

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Yes, there is a correlation. ; Use technology to ... more

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Yes, there is a correlation. ; Use technology to ... more

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Yes, there is a correlation. ; Use technology to ... more

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The multiple regression model with the equation ... more

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The is significant correlation for each pair of ... more

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For both genders, the analysis reveals the same ... more

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The scatter plot is: There is no linear ... more

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Regression equation: ; it will be showing the ... more

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There is not sufficient evidence to support the ... more

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There is not sufficient evidence to support the ... more

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The inference about differences from matched pairs... more

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