Question: Please I need help right now thanks chegg Based on the equation Y = 4.29 + 143.3X , Sales(Y) is in Units of $1000.00 and
Please I need help right now thanks chegg
Based on the equation Y = 4.29 + 143.3X, Sales(Y) is in Units of $1000.00 and Advertising(X) is in Units of $100. What are Sales when $3,668.00 is spent on advertising?
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Answer format: Currency: Round to: 2 decimal places.
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#14
Based on the below data what will be the value of R2?
| Regression Statistics | ||||
| Multiple R | ||||
| R Square | ||||
| Adjusted R Square | ||||
| Standard Error | ||||
| Observations | 8 | |||
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 23 | 23 | 5 |
| Residual | 6 | 26 | 4 | |
| Total | 7 | |||
| Coefficients | Standard Error | t Stat | P-value | |
| Intercept | 2 | 31.274666 | 3.984284 | 0.007248 |
| Advertising (thousands of $) | 28 | 6.19330674 | 1.610802 | 0.158349 |
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Answer format: Number: Round to: 2 decimal places.
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#15
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 | 8 | |||
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 26 | 26 | 6 |
| Residual | 6 | 26 | 4 | |
| Total | 7 | |||
| Coefficients | Standard Error | t Stat | P-value | |
| Intercept | 8 | 31.274666 | 3.984284 | 0.007248 |
| Advertising (thousands of $) | 50 | 6.19330674 | 1.610802 | 0.158349 |
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Answer format: Number: Round to: 2 decimal places.
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#16
Based on the below data what will be the value of SST
| Regression Statistics | ||||
| Multiple R | ||||
| R Square | ||||
| Adjusted R Square | ||||
| Standard Error | ||||
| Observations | 8 | |||
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 23 | 23 | 7 |
| Residual | 6 | 20 | 3 | |
| Total | 7 | |||
| Coefficients | Standard Error | t Stat | P-value | |
| Intercept | -3 | 31.274666 | 3.984284 | 0.007248 |
| Advertising (thousands of $) | 43 | 6.19330674 | 1.610802 | 0.158349 |
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Answer format: Number: Round to: 2 decimal places.
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#17
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 | 8 | |||
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 40 | 40.0 | 18.43 |
| Residual | 6 | 13 | 2.17 | |
| Total | 7 | |||
| Coefficients | Standard Error | t Stat | P-value | |
| Intercept | -4 | 31.274666 | 3.984284 | 0.007248 |
| Advertising (thousands of $) | 6 | 6.19330674 | 1.610802 | 0.158349 |
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Answer format: Number: Round to: 2 decimal places.
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#18
Based on the below data what is the regression equation? a. 46 + 26X b. 26 * 13X c. 13 + 46X d. 13X + 46
| Regression Statistics | ||||
| Multiple R | ||||
| R Square | ||||
| Adjusted R Square | ||||
| Standard Error | ||||
| Observations | 8 | |||
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 26 | 26 | 6 |
| Residual | 6 | 26 | 4 | |
| Total | 7 | |||
| Coefficients | Standard Error | t Stat | P-value | |
| Intercept | 13 | 31.274666 | 3.984284 | 0.007248 |
| Advertising (thousands of $) | 46 | 6.19330674 | 1.610802 | 0.158349 |
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Answer format: Text
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#19
The data used to create the below regression output had time perdiod one as Jan 2020. What is the the result of the regression equation for the March 2021?
| Regression Statistics | ||||
| Multiple R | ||||
| R Square | ||||
| Adjusted R Square | ||||
| Standard Error | ||||
| Observations | 8 | |||
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 37 | 37 | 37 |
| Residual | 6 | 11 | 1 | |
| Total | 7 | |||
| Coefficients | Standard Error | t Stat | P-value | |
| Intercept | 10 | 31.274666 | 3.984284 | 0.007248 |
| Time | 16 | 6.19330674 | 1.610802 | 0.158349 |
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Answer format: Number: Round to: 2 decimal places.
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#20
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 | 8 | |||
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 26 | 26 | 6 |
| Residual | 6 | 24 | 4 | |
| Total | 7 | |||
| Coefficients | Standard Error | t Stat | P-value | |
| Intercept | 9 | 31.274666 | 3.984284 | 0.007248 |
| Advertising (thousands of $) | 35 | 6.19330674 | 1.610802 | 0.158349 |
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Answer format: Number: Round to: 0 decimal places.
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