Answer:
From given output table
Standard error of slope=-0.176
Option 1) is correct
QUESTION 23 A sales manager for an advertising agency believes that there is a relationship between...
QUESTION 5 A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a sales person makes and the amount of the sales dollars carned. A regression analysis shows the following results: Coefficients Standard Error T Stat P-value Intercept -12.201 6.560 -1.860 0.100 Number of Contacts 2.195 0.176 12.505 0.000 What is the decision regarding the hypothesis that the slope equals zero? Reject Ha. Fail to reject Ho. Fail to reject Ha....
QUESTION 12 A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a sales person makes and the amount of the sales dollars earned. A regression ANOVA shows the following results: ANOVA F P.value df 1.00 8.00 Regression Residual Total 156.38 SS 13555.42 693.48 14248.90 MS 13555.42 86.68 0.00 9.00 What is the value of the standard error of estimate? 8.328 8.778 86.68 9.310
A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this, the following data was collected: Sales ($) Contacts 25,000 15 16,000 15 28,000 20 60,000 18 80,000 46 35,000 24 85,000 45 80,000 45 95,000 55 110,000 52 Which is the: Independent variable? ___________________ Dependent variable? ___________________ Calculate the coefficient of correlation and interpret the results. Determine both the coefficient of determination and non-determination...
QUESTIONS sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of salos dollars eamed. What is the independent variable? A Salesperson B. Number of contacts Amount of sales D. Sales manager QUESTION 9 A regression analysis yields the following information: Y = 2.21+1.49X; n = 10:8-1.66: EX - 32:2(x-x) = 31.6 Compute the 95% prediction interval when X = 4. A (0.0, 4.05 ) B.(2.67.5.33)...
The managing partner of an advertising agency believes that his company's sales are related to the industry sales. He uses Microsoft Excel's Data Analysis tool to analyze the last 4 years of quarterly data (i.e., n = 16) with the following results: Regression Statistics Multiple R 0.802 R Square 0.643 Adjusted R Square 0.618 Standard Error SYX 0.9224 Observations 16 ANOVA df Regression 1 Error 14 Total 15 SS MS F Sig.F 31.497 21.497 25.27 0.000 21.912 0.851 53.409 Predictor...
Q3. (15 points) The managing partner of an advertising agency believes that his company's sales are related to the industry sales ($ 1000s). He uses Microsoft Excel to analyze the last 4 years of quarterly data (i.e., n=16) with the following results: Regression Statistics Multiple R 0 .802 R Square - 0.643 Adjusted R Square 0.618 Standard Error SYX Observations 0.9224 ANOVA df 1 14 15 F 25.27 Regression Error Total MS 21.497 0.851 Sig.F 0.000 SS 21.497 11.912 33.409...
TABLE 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales. He uses Microsoft Excel’s Data Analysis tool to analyze the last 4 years of quarterly data (i.e., n = 16) with the following results: Regression Statistics Multiple R 0.802 R Square 0.643 Adjusted R Square 0.618 Standard Error SYX 0.9224 Observations 16 ANOVA df SS MS F Sig.F Regression 1 21.497 21.497 25.27 0.000 Error 14 11.912 0.851 Total 15...
1 Problem 7 (20 marks) A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this believe, the following data was collected: Salesperson Number of Contacts Sales (in thousands) 14 24 2 12 14 3 20 28 4 16 30 16 80 23 7 48 90 50 85 55 120 10 SO 110 6 8 9 Assume normality of variables. a) Calculate the coefficient of...
1 Problem 8 (20 marks) A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this belief, the following data was collected: Salesperson Number of Contacts Sales (in thousands) 14 24 2 12 14 3 20 28 4 16 30 5 46 80 6 23 30 7 48 90 8 50 85 55 120 10 50 110 9 Assume normality of variables. a) Calculate the...
QUESTION 4 (3 points) A sales manager for an adve of contacts and the amount of the sales. To verify this believe, the following data was collected rtising agency believes there is a relationship between the number Number of Salesperson Contacts. Sales lin thousands 12 20 28 4 80 23 85 120 110 10 What is the 95% confidence interval for sales (in thousands) for someone who made 30 contacts? A. 51.5 to 55.8 B. 51.4 to 55.9 C. 46.7...