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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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#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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#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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#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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#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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#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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#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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