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Based on the below data what is the result of the regression equation for the 15th month? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA di 1 ss 31 ms 31 F 15 Regression Residual Total Coefficients Standard Error t Stat P-value Intercept 8 31.274666 3.984284 0.007248 Time 23 6.19330674 1.610802 0.158349 Submit Answer format: Number: Round to: 2 decimal places. Sales is in Units of $1000.00 and Advertising is in Units of $100. what is the value of sales increase when we say it is increased by one unit of Advertising? The equation is: Y=45.9+123.3X. a) 45900 b) 459000 C) 123300 d) 12330 Submit Answer format: Text Sales(Y) is in Units of $10,000.00 and Advertising(X) is in Units of $1000. If we want to calculate the value of sales when $34,386.00 is spent on advertising. What do we use for X in the following equation? Y-42.9+143.3X. Submit Answer format: Currency: Round to: 2 decimal places. Based on the equation Y.4.29 + 143.3X , Sales(Y) is in Units of $1000.00 and Advertising() is in Units of $100. What are Sales when $4,716.00 is spent on advertising? Submit Answer format: Currency: Round to: 2 decimal places. Identify the correct equation? a) R2 = SST/SSR b) R2 = SSE/SST c) R2 = SSR/SST d) R2 = SSP/SST Submit Answer format: Text Based on the equation Y – 1,0404 -1.2x , Sales(Y) is in Units of $1000.00 and Advertising(x) is in Units of $100. What are Sales when $2,589.00 is spent on advertising? Submit Answer format: Currency: Round to: 2 decimal places. Based on the below data what will be the value of SST? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA of SS 26 MSF 26 Regression – 13 Residual 6 15 2 Total Coefficients Standard Error t Stat P-value Intercept 17 31.274666 3.984284 0.007248 Advertising (thousands of $) 44 6.19330674 1.610802 0.158349 Submit Answer format: Number: Round to: 2 decimal places. How many data points (pieces of data were used to create the regression equation? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA di – 23 ss 36 ms 36 F 12 Regression Residual 6 Total Coefficients Standard Error t Stat P-value Intercept 17 31.274666 3.984284 0.007248 Advertising (thousands of $) 31 6.19330674 1.610802 0.158349 Submit Answer format: Number: Round to: 0 decimal places. Based on the equation Y – 4.29 + 143.3x, Sales(Y) is in Units of $10,000.00 and Advertising(x) is in Units of $100. What are Sales when $3,085.00 is spent on advertising? Submit Answer format: Currency: Round to: 2 decimal places. Based on the below data what will be the value of standard error? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA SSMS – di 1 R 12 Regression ss 25 20 ms 25.0 12.5 Residual Total Coefficients Standard Error t Stat P-value Intercept 31.274666 3.984284 0.007248 Advertising (thousands of $) 17 6.19330674 1.610802 0.158349 Submit Answer format: Number: Round to: 2 decimal places. Based on the below data what will be the value of multiple R? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA – df ss ms 1 2626 193 F 8 Regression Residual 6 Total Coefficients Standard Error t Stat P-value Intercept 31.274666 3.984284 0.007248 Advertising (thousands of $) 45 6.19330674 1.610802 0.158349 Submit Answer format: Number: Round to: 2 decimal places. Based on the below data what will be the value of standard error? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA df 1 23 SS 28 MSF 28. 0 7 Regression .31 Residual 3.83 Total Coefficients Standard Error Stat P-value Intercept 31.274666 3.984284 0.007248 Advertising (thousands of $) 37 6.19330674 1.610802 0.158349 Submit Answer format: Number: Round to: 2 decimal places. Interpret coefficient-6 from the regression equation: y = 100 – 6X where y is number of donuts sold and x is price. So on an average, if price increases by one dollar, the number of donuts sold: a) Increases by 94 b) Decreases by 6 c) Is 6 times higher than before d) Increases by 6 Submit Answer format: Text Based on the below data what is the regression equation? a) 35 + 39X b) 399X c) 9 + 35X d) 9X +35 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA df SSMS Regression 39 Residual 6 17 2 Total Coefficients Standard Error t Stat P-value Intercept 31.274666 3.984284 0.007248 Advertising (thousands of $) 35 6.19330674 1.610802 0.158349 Based on the below data what will be the value of R?? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression 1 dfss MSF 34 34 203 11 Residual 6 Total Coefficients Standard Error t Stat P-value Intercept 31.274666 3.984284 0.007248 Advertising (thousands of $) 30 6.19330674 1.610802 0.158349 Submit Answer format: Number: Round to: 2 decimal places.

 

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