lease help solving the following question.   Picture is attached    But solve only these two sub questions please   Is the model statistically significant? Provide a justification for your answer. Calculate the correlation coefficient.

MATLAB: An Introduction with Applications
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Please help solving the following question.

 

Picture is attached 

 

But solve only these two sub questions please

 

  • Is the model statistically significant? Provide a justification for your answer.
  • Calculate the correlation coefficient.

 

Thank you

4. The Excel table below shows the results of a regression analysis by observing the
sales generated for chocolate bars vs money spent on advertising. (sales = y variable,
advertising = x variable)
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.988287905
R Square
0.976712984
Adjusted R Sc 0.973386267
Standard Erre 51.82929288
Observations
9
ANOVA
df
SS
MS
Significance F
Regression
1
788681.6264 788681.6 293.5967 5.65982E-07
Residual
18803.9292 2686.276
Total
8.
807485.5556
Coefficients Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0% Upper 95.0%
Intercept
167.6829495
58.938986 2.845026 0.024865 28.31439379 307.0515051 28.31439379 307.0515051
Advertising
23.42278559
1.366982532 17.13466 5.66E-07 20.19038555 26.65518564 20.19038555 26.65518564
(i)
(ii)
What is the value of n?
What is the regression line that predicts the sales, y in terms of
advertising, x? Comment briefly on the slope sign.
What information is provided by the R squared?
Is the model statistically significant? Provide a justification for
(iii)
(iv)
your answer.
(v)
Calculate the correlation coefficient.
Transcribed Image Text:4. The Excel table below shows the results of a regression analysis by observing the sales generated for chocolate bars vs money spent on advertising. (sales = y variable, advertising = x variable) SUMMARY OUTPUT Regression Statistics Multiple R 0.988287905 R Square 0.976712984 Adjusted R Sc 0.973386267 Standard Erre 51.82929288 Observations 9 ANOVA df SS MS Significance F Regression 1 788681.6264 788681.6 293.5967 5.65982E-07 Residual 18803.9292 2686.276 Total 8. 807485.5556 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 167.6829495 58.938986 2.845026 0.024865 28.31439379 307.0515051 28.31439379 307.0515051 Advertising 23.42278559 1.366982532 17.13466 5.66E-07 20.19038555 26.65518564 20.19038555 26.65518564 (i) (ii) What is the value of n? What is the regression line that predicts the sales, y in terms of advertising, x? Comment briefly on the slope sign. What information is provided by the R squared? Is the model statistically significant? Provide a justification for (iii) (iv) your answer. (v) Calculate the correlation coefficient.
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