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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