Determine the standard error of the estimate. Syx=31.2058 (Round to four decimal places as needed.) c.How useful do you think this regression model is for predicting the cost of a meal? A.It is very useful for predicting the cost of a meal because the coefficient of determination is close to 1.The standard error of the estimate does not indicate whether a regression model is useful. O B.It is very useful for predicting the cost of a meal because the coefficient of determination is close to 1 and the standard error of the estimate is fairly small. O C.It is not very useful for predicting the cost of a meal because although the coefficient of determination is close to 1,the standard error of the estimate is fairly small. O D.It is not very useful for predicting the cost of a meal because the coefficient of determination is close to 0 and the standard error of the estimate is fairly large.

Assuming a linear relationship,use the least-squares method to compute the regression coefficients bo and b1. b0=-39.35andb1=1.42 (Round to two decimal places as needed. c.Interpret the meaning of the Y-intercept,bo,and the slope,b1.Choose the correct answer below. O A.The Y-intercept,bo,implies that if the summated rating of a restaurant is zero,the cost per meal is equal to bo,in dollars.The slope,b1,implies that for each increase of 1 in the summated rating,the cost per person is expected to decrease by b1,in dollars. B.The Y-intercept,bo,implies that if the summated rating of a restaurant is zero,the cost per meal is equal to bo,in dollars.The slope,b1,implies that for each increase of 1dollar in the cost per person,the summated rating is expected to increase by b1. OC.A practical interpretation of the Y-intercept bo is not meaningful because no operating restaurant is likely to have a rating of zero.The slope b1 implies that for each increase of 1 in the summated rating,the cost per person is expected to increase by the value of b1,in dollars. OD.The Y-intercept,bo,implies that if the summated rating of a restaurant is zero,the cost per person is bo,in dollars.The slope,b,implies the average cost per person is b dollars.

A consumer's spending is widely believed to be a function of their income. To estimate this relationship, a university professor randomly selected 19 of his students and collected information on their spending (Y, in dollars) and income (X, in dollars) patterns in week 6 of the semester. Assuming a linear relationship between Y and X, the professor used the least-squares method and found that the Y intercept = 20.90 and the slope = 0.66. The professor also found that the standard error of the slope was 0.08. Based on this information, what conclusion should you reached at the 5% level of significance when testing the null hypothesis that there is no linear relationship between the two variables, X and Y? a. There is sufficient evidence at the 5% level of significance to conclude that there is no significant linear relationship between X and Y. b. There is sufficient evidence at the 5% level of significance to conclude that there is a significant linear relationship between X and Y. c. There is sufficient evidence at the 5% level of significance to conclude that there is a significant linear relationship between the Y intercept and the slope. d. There is insufficient evidence at the 5% level of significance to conclude that there is a significant linear relationship between X and Y.

a.Construct a 95%confidence interval estimate of the mean cost of a meal for restaurants that have a summated rating of 51. 19.857≤Y1X=×1≤26.923 (Type integers or decimals.Round to three decimal places as needed.Use ascending order.) b.Construct a 95%prediction interval of the cost of a meal for an individual restaurant that has a summated rating of 51. 4.498≤Yx=51≤42.283 (Type integers or decimals.Round to three decimal places as needed.Use ascending order.) c.Explain the differences in the results from (a)and(b).Choose the correct answer below. OA.Since there is more variation in estimating a mean value than in predicting an individual value,the confidence interval is narrower than the prediction interval,holding everything else fixed. B.Since there is more variation in estimating a mean value than in predicting an individual value,the confidence interval is wider than the prediction interval,holding everything else fixed. O C.Since there is more variation in predicting an individual value than in estimating a mean value,the prediction interval is wider than the confidence interval,holding everything else fixed. OD.Since there is more variation in predicting an individual value than in estimating a mean value,the prediction interval is narrower than the confidence interval,holding everything else fixed.

Question 41 ptsUse the data given below to answer the following question(s).Following is an extract from the database of a construction company. The table shows the heightof walls in feet and the cost of raising them. The estimated simple linear regression equation isgiven as Ŷ = b0 + b1X. (Hint: Use Excel functions).What is the estimated cost of raising a 10-inch wall?Group of answer choices1505.7861103.578968.61091123.008

Suppose the linear regression line y = 3.009x – 77.131 predicts a pizza parlor's profits based on the number of pizzas sold. If x represents the number of pizzas sold, and y represents the pizza parlor's profits in dollars, about how much can the pizza parlor expect in profits if it sells 275 pizzas?A.$825B.$750C.$675D.$900SUBMITarrow_backPREVIOUS