Hello,

Can I get help solving the following questions? This model should be created using excel Data Analysis tool pack. No Python or R is necessary. - A model needs to be developed to forecast sales in September 2024. - Once that's done, please describe model performance using the following metrics(below) - Finally, demonstrate whether the model violates any assumptions.

Multiple R (Correlation Coefficient)

R-Squared (Coefficient of Determination)

Adjusted R-Squared

Standard Error

P-Values

ANOVA Table Results

Residual Plots

Variance Inflation Factor (VIF)

Date	Sales
Jan-21	16,961,146
Feb-21	17,157,138
Mar-21	22,485,667
Apr-21	20,227,330
May-21	21,598,686
Jun-21	23,629,841
Jul-21	24,087,692
Aug-21	23,740,446
Sep-21	23,163,489
Oct-21	23,880,469
Nov-21	24,765,426
Dec-21	24,782,508
Jan-22	19,805,038
Feb-22	19,312,710
Mar-22	23,899,246
Apr-22	24,574,121
May-22	27,525,654
Jun-22	27,532,538
Jul-22	25,439,736
Aug-22	25,158,687
Sep-22	25,141,162
Oct-22	24,905,865
Nov-22	25,990,052
Dec-22	26,130,961
Jan-23	20,502,870
Feb-23	19,926,169
Mar-23	23,890,711
Apr-23	24,486,802
May-23	27,157,508
Jun-23	26,508,865
Jul-23	25,300,381
Aug-23	25,695,304
Sep-23	25,513,626
Oct-23	25,271,759
Nov-23	26,522,260
Dec-23	26,584,734
Jan-24	21,354,371
Feb-24	21,069,791
Mar-24	23,675,222
Apr-24	24,840,040
May-24	27,426,065