A Simple Linear Regression (SLR) was performed where the monthly Revenue ("Rev", the y-variable) was regressed on the monthly Advertising Expenditures ("Expend", the x-variable). Excel was used to construct the 98% Confidence Interval (CI) estimate of B1. The Excel-generated Regression output is provided below: ANOVA                   df SS MS F Significance F       Regression 1 492.528125 492.528125 10.65525634 0.046980871       Residual 3 138.671875 46.22395833           Total 4 631.2                                 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 98.0% Upper 98.0% Intercept 23.1328125 5.324310936 4.344752359 0.022510469 6.188478833 40.07714617 -1.043301388 47.30892639 Expend 3.1015625 0.950164031 3.264239014 0.046980871 0.077716489 6.125408511 -1.212850033 7.415975033   a. Enter the value of the Left-Hand Endpoint (LHEP) of the 98% Confidence Interval (CI) estimate of B1 . Round off your answer to the fourth decimal place. The LHEP of the 98% CI for B1, rounded off as instructed, is:   _________________________ b. Enter the value of the Right-Hand Endpoint (RHEP) of the 98% Confidence Interval (CI) estimate of B1. Round off your answer to the fourth decimal place. The RHEP of the 98% CI for B1 , rounded off as instructed, is: _______________ c. Select the number of the following statement that gives the correct interpretation of the CI in this problem:     1: the CI is a NEGATIVE CI, and therefore REV and EXPEND are NOT significantly Linearly related.     2: The CI is a POSITIVE CI, and therefore REV and EXPEND are NOT significantly Linearly related.     3: The CI is a MIXED CI, and therefore REV and EXPEND are NOT significantly Linearly related.     4: The CI is a NEGATIVE CI, and therefore REV and EXPEND ARE significantly Negatively Linearly related.     5: The CI is a POSITIVE CI, and therefore REV and EXPEND ARE significantly Positively Linearly related. Answer to part (c):  _______________

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A Simple Linear Regression (SLR) was performed where the monthly Revenue ("Rev", the y-variable) was regressed on the monthly Advertising Expenditures ("Expend", the x-variable). Excel was used to construct the 98% Confidence Interval (CI) estimate of B1. The Excel-generated Regression output is provided below:

ANOVA                
  df SS MS F Significance F      
Regression 1 492.528125 492.528125 10.65525634 0.046980871      
Residual 3 138.671875 46.22395833          
Total 4 631.2            
                 
  Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 98.0% Upper 98.0%
Intercept 23.1328125 5.324310936 4.344752359 0.022510469 6.188478833 40.07714617 -1.043301388 47.30892639
Expend 3.1015625 0.950164031 3.264239014 0.046980871 0.077716489 6.125408511 -1.212850033 7.415975033

 

a. Enter the value of the Left-Hand Endpoint (LHEP) of the 98% Confidence Interval (CI) estimate of B1 . Round off your answer to the fourth decimal place.

The LHEP of the 98% CI for B1, rounded off as instructed, is:  

_________________________

b. Enter the value of the Right-Hand Endpoint (RHEP) of the 98% Confidence Interval (CI) estimate of B1. Round off your answer to the fourth decimal place.

The RHEP of the 98% CI for B1 , rounded off as instructed, is: _______________

c. Select the number of the following statement that gives the correct interpretation of the CI in this problem:

    1: the CI is a NEGATIVE CI, and therefore REV and EXPEND are NOT significantly Linearly related.

    2: The CI is a POSITIVE CI, and therefore REV and EXPEND are NOT significantly Linearly related.

    3: The CI is a MIXED CI, and therefore REV and EXPEND are NOT significantly Linearly related.

    4: The CI is a NEGATIVE CI, and therefore REV and EXPEND ARE significantly Negatively Linearly related.

    5: The CI is a POSITIVE CI, and therefore REV and EXPEND ARE significantly Positively Linearly related.

Answer to part (c):  _______________

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