Question: A researcher developed a regression model to predict the cost of a meal based on the summated rating(sum of ratings forfood, decor, andservice) and the

A researcher developed a regression model to predict the cost of a meal based on the summated rating(sum of ratings forfood, decor, andservice) and the cost per meal for 14

restaurants. The results of the study show that b1equals =1.5513 and Sb1equals =0.1395

a. At the 0.05 level ofsignificance, is there evidence of a linear relationship between the summated rating of a restaurant and the cost of ameal?

b. Construct a95% confidence interval estimate of the populationslope, b1

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