Graded Hw
Graded Homework #8
1. A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do so, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using the candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:
Prics ($) | Sales | 1.30 | 100 | 1.60 | 90 | 1.80 | 90 | 2.00 | 40 | 2.40 | 38 | 2.90 | 32 | | |
What is the estimated slope (b1 for this data set? 161.3855 0.784 -0.3810 -48.193
POINT VALUE: 1.0 points
2. A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do so, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using the candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:
Prics ($) | Sales | 1.30 | 100 | 1.60 | 90 | 1.80 | 90 | 2.00 | 40 | 2.40 | 38 | 2.90 | 32 | | |
What is the percentage of the total variation in candy bar sales explained by the regression model? 100% 88.54% 78.39% 48.19%
POINT VALUE: 1.0 points
3. A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do so, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using the candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:
Prics ($) | Sales | 1.30 | 100 | 1.60 | 90 | 1.80 | 90 | 2.00 | 40 | 2.40 | 38 | 2.90 | 32 | | |
What is the coefficient of correlation for these data? 0.8854 0.7839 -0.7839 -0.8854
POINT VALUE: 1. points
4. The coefficient of determination (r2) tells us that the coefficient of correlation (r) is larger than one. whether r has any significance. that we should not
1. A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do so, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using the candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:
Prics ($) | Sales | 1.30 | 100 | 1.60 | 90 | 1.80 | 90 | 2.00 | 40 | 2.40 | 38 | 2.90 | 32 | | |
What is the estimated slope (b1 for this data set? 161.3855 0.784 -0.3810 -48.193
POINT VALUE: 1.0 points
2. A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do so, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using the candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:
Prics ($) | Sales | 1.30 | 100 | 1.60 | 90 | 1.80 | 90 | 2.00 | 40 | 2.40 | 38 | 2.90 | 32 | | |
What is the percentage of the total variation in candy bar sales explained by the regression model? 100% 88.54% 78.39% 48.19%
POINT VALUE: 1.0 points
3. A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do so, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using the candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:
Prics ($) | Sales | 1.30 | 100 | 1.60 | 90 | 1.80 | 90 | 2.00 | 40 | 2.40 | 38 | 2.90 | 32 | | |
What is the coefficient of correlation for these data? 0.8854 0.7839 -0.7839 -0.8854
POINT VALUE: 1. points
4. The coefficient of determination (r2) tells us that the coefficient of correlation (r) is larger than one. whether r has any significance. that we should not