A regression line is used to satisfactorily describe the relationship between the width of tires in inches and lifespan (in months) of 14 tires in a tire performance study. The regression analysis is shown. Variable Constant Coeff SE Coeff t Ratio p-Value 7.3985 0.5638 13.12 0.034 0.005 R squared (adj) = 87.94 Width of tires 3.9571 0.7382 5.36 R squared = 88.54 Which expression should be used to compute a 98 percent confidence interval for the slope of the regression line? O 7.3985±2.681(0.5638) O 7.3985±2.624(0.5638) O 3.9571 +2.65(0.7382) O 3.9571±2.624(0.7382) O 3.9571±2.681(0.7382)

Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 7.9 8.4 9.7 7.4 9.6 7.1 Weight (kg) 162 214 263 140 254 155 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y = + x. (Round to one decimal place as needed.) The best predicted weight for an overhead width of 2 cm is kg. (Round to one decimal place as needed.) Can the prediction be correct? What is wrong with predicting the weight in this case? O A. The prediction cannot be correct because a negative weight does not make sense. The width in this case is beyond the scope of the available sample data. O B. The prediction cannot be correct because there is not sufficient evidence of a linear correlation. The…

I need help finding the answers for A,B,and C

The null hypothesis: H, :0 H :0 The alternative hypothesis: Н The type of test statistic: (Choose one) v The value of the test statistic: (Round to at least three decimal places.) The critical value at the 0.05 level of significance: (Round to at least three decimal places.) Can we conclude that houses in Sun Beach have higher appreciation over the past three years than houses in North Arden? Yes No