The table below shows the regression output with sales as the dependent variable and advertising expenditure ($) and time period, t (year) as the independent variables. What is the correct interpretation of the slope coefficient time period? Intercept Advertising exp t Coefficientsandard Errt Stat P-value 31232.5 46332.7 0.67409 0.56972 -0.06504 1.21555 -0.05351 0.96219 18120.3 10091.3 1.79565 0.21439 O the sales is estimated to increase by 18120.3 for a one year increase in the time period. O After controlling for the effect of time period, the sales is estimated to decrease by 0.06 for a dollar increase in the advertising exp. After controlling for the effect of advertising exp, the sales is estimated to increase by 31232.5 for a one year increase in the time period. After controlling for the effect of advertising exp, the sales is estimated to increase by 18120.3 for a one year increase in the time period.
The table below shows the regression output with sales as the dependent variable and advertising expenditure ($) and time period, t (year) as the independent variables. What is the correct interpretation of the slope coefficient time period? Intercept Advertising exp t Coefficientsandard Errt Stat P-value 31232.5 46332.7 0.67409 0.56972 -0.06504 1.21555 -0.05351 0.96219 18120.3 10091.3 1.79565 0.21439 O the sales is estimated to increase by 18120.3 for a one year increase in the time period. O After controlling for the effect of time period, the sales is estimated to decrease by 0.06 for a dollar increase in the advertising exp. After controlling for the effect of advertising exp, the sales is estimated to increase by 31232.5 for a one year increase in the time period. After controlling for the effect of advertising exp, the sales is estimated to increase by 18120.3 for a one year increase in the time period.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Please help!
![The table below shows the regression output with sales as the dependent
variable and advertising expenditure ($) and time period, t (year) as the
independent variables. What is the correct interpretation of the slope
coefficient time period?
Intercept
Advertising exp
t
Coefficientsandard Errt Stat
P-value
31232.5 46332.7 0.67409
0.56972
-0.06504 1.21555 -0.05351 0.96219
18120.3 10091.3 1.79565 0.21439
O the sales is estimated to increase by 18120.3 for a one year increase in the
time period.
O After controlling for the effect of time period, the sales is estimated to
decrease by 0.06 for a dollar increase in the advertising exp.
O After controlling for the effect of advertising exp, the sales is estimated to
increase by 31232.5 for a one year increase in the time period.
O After controlling for the effect of advertising exp, the sales is estimated to
increase by 18120.3 for a one year increase in the time period.
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Transcribed Image Text:The table below shows the regression output with sales as the dependent
variable and advertising expenditure ($) and time period, t (year) as the
independent variables. What is the correct interpretation of the slope
coefficient time period?
Intercept
Advertising exp
t
Coefficientsandard Errt Stat
P-value
31232.5 46332.7 0.67409
0.56972
-0.06504 1.21555 -0.05351 0.96219
18120.3 10091.3 1.79565 0.21439
O the sales is estimated to increase by 18120.3 for a one year increase in the
time period.
O After controlling for the effect of time period, the sales is estimated to
decrease by 0.06 for a dollar increase in the advertising exp.
O After controlling for the effect of advertising exp, the sales is estimated to
increase by 31232.5 for a one year increase in the time period.
O After controlling for the effect of advertising exp, the sales is estimated to
increase by 18120.3 for a one year increase in the time period.
Previous
^ E
Next >
1:46 PM
5/8/2023
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