Company Year Metric Value

Company A

$2020$

$$Advertising Spend

$50$

$,$

$000$

Company A

$2020$

$$Sales Team Size

$4$

Company A

$2020$

$$Website Traffic

$200$

$,$

$000$

Company A

$2020$

$$Revenue

$100$

$,$

$000$

Company A

$2021$

$$Advertising Spend

$60$

$,$

$000$

Company A

$2021$

$$Sales Team Size

$5$

Company A

$2021$

$$Website Traffic

$220$

$,$

$000$

Company A

$2021$

$$Revenue

$110$

$,$

$000$

Company A

$2022$

$$Advertising Spend

$45$

$,$

$000$

Company A

$2022$

$$Sales Team Size

$3$

Company A

$2022$

$$Website Traffic

$180$

$,$

$000$

Company A

$2022$

$$Revenue

$95$

$,$

$000$

Company B

$2020$

$$Advertising Spend

$70$

$,$

$000$

Company B

$2020$

$$Sales Team Size

$6$

Company B

$2020$

$$Website Traffic

$240$

$,$

$000$

Company B

$2020$

$$Revenue

$120$

$,$

$000$

Company B

$2021$

$$Advertising Spend

$55$

$,$

$000$

Company B

$2021$

$$Sales Team Size

$4$

Company B

$2021$

$$Website Traffic

$210$

$,$

$000$

Company B

$2021$

$$Revenue

$105$

$,$

$000$

Company B

$2022$

$$Advertising Spend

$65$

$,$

$000$

Company B

$2022$

$$Sales Team Size

$5$

Company B

$2022$

$$Website Traffic

$230$

$,$

$000$

Company B

$2022$

$$Revenue

$115$

$,$

$000$

Company C

$2020$

$$Advertising Spend

$40$

$,$

$000$

Company C

$2020$

$$Sales Team Size

$3$

Company C

$2020$

$$Website Traffic

$170$

$,$

$000$

Company C

$2020$

$$Revenue

$90$

$,$

$000$

Company C

$1978$

$$Revenue

$1$

$,$

$000$

$,$

$000$

Company C

$2021$

$$Advertising Spend

$75$

$,$

$000$

Company C

$2021$

$$Sales Team Size

$6$

Company C

$2021$

$$Website Traffic

$250$

$,$

$000$

Company C

$2021$

$$Revenue

$125$

$,$

$000$

Company C

$2022$

$$Advertising Spend

$50$

$,$

$000$

Company C

$2022$

$$Sales Team Size

$4$

Company C

$2022$

$$Website Traffic

$200$

$,$

$000$

Company C

$2022$

$$Revenue

$100$

$,$

$000$ based on this question, i have solved the regression, can you please checj and tell me if i am right SUMMARY OUTPUT

Regression Statistics

Multiple R $1$

R Square $1$

Adjusted R Square $1$

Standard Error $3\mathrm{.}14156$E$-13$

Observations $9$

ANOVA

df SS MS F Significance F

Regression $31100000000366666666\mathrm{.}73\mathrm{.}71518$E$+338\mathrm{.}68364$E$-84$

Residual $54\mathrm{.}93471$E$-259\mathrm{.}86941$E$-26$

Total $81100000000$

Coefficients Standard Error t Stat P$-$value Lower $95\%$ Upper $95\%$ Lower $95\mathrm{.}0\%$ Upper $95\mathrm{.}0\%$

Intercept $500003\mathrm{.}27989$E$-121\mathrm{.}52444$E$+162\mathrm{.}30541$E$-8050000500005000050000$

Advertising spent $18\mathrm{.}00111$E$-171\mathrm{.}24983$E$+166\mathrm{.}22381$E$-801111$

Website Traffic $-1\mathrm{.}92933$E$-163\mathrm{.}68833$E$-17-5\mathrm{.}2309010130\mathrm{.}003379209-2\mathrm{.}87745$E$-16-9\mathrm{.}81214$E$-17-2\mathrm{.}87745$E$-16-9\mathrm{.}81214$E$-17$

Sales size $-3\mathrm{.}30263$E$-134\mathrm{.}6697$E$-13-0\mathrm{.}7072461870\mathrm{.}511004567-1\mathrm{.}53065$E$-128\mathrm{.}70121$E$-13-1\mathrm{.}53065$E$-128\mathrm{.}70121$E$-13$

RESIDUAL OUTPUT

Observation Predicted Revenue Residuals

$1100000-1\mathrm{.}45519$E$-11$

$2110000-1\mathrm{.}45519$E$-11$

$395000-1\mathrm{.}45519$E$-11$

$4120000-1\mathrm{.}45519$E$-11$

$5105000-1\mathrm{.}45519$E$-11$

$6115000-1\mathrm{.}45519$E$-11$

$790000-1\mathrm{.}45519$E$-11$

$8125000-1\mathrm{.}45519$E$-11$

$9100000-1\mathrm{.}45519$E$-11$ please tell me hypothesis test for this data briefly