3 pts 24/ In order to test its job candidates' technical skills, a company creates a timed Excel test (in minutes) to be completed during the interview. The company asks its candidates how many years they've been using Excel. Based on the reported years of experience using Excel, the company wants to predict how long it will take (in minutes) for an interviewee to complete the technical test. 101 Regression Statistics Moleh 092123 Adjusted Square 0.8446822 Standard tror 12.652934 Obrations ANOVA Repression Residual Total 55 Slowficance 134116.2992 34116.2992 213.098 3.645638-17 386083675798 160.096732 39 40198.975 MS years Coefidents Standard Error P.velce Lower 95 Upper 95% lower 95.0% Upper 95.0% 124.25291 3.366671248 36.9066836 2.26-31 1174374269 13.06839 117437427 131.06839 5.90579% 0.36343019 345978786.11.6.04154792 459712-5.04154792 45699712 Q: Write the regression line equation based on the above output BIU In order to test its job candidates' technical skills, a company creates a timed Excel test (in minutes) to be completed during the interview. The company asks its candidates how many years they've been using Excel. Based on the reported years of experience using Excel, the company wants to predict how long it will take (in minutes) for an interviewee to complete the technical test. Regression Statistics Multiple 0.92123 R Square 0.8486647 Adjusted Souare 0.8446822 Standard Error 12.652934 Observations 40 ANOVA Regression Residual Total SS MS Significance 1 34116.2992 34116.2992 213.098 3.64563E-17 38 6083675798 160.096732 39 40199.975 Interest Yeart Coefficients Standard Error Stat P.volue Lower 95% Upper 95% Lower 95.0% Upper 95.0% 124.25291 3.366677248 36.9066886. 2.268-31 1174374269 131.06839 117.437427 131.06839 5.3057596 0.363461019 14597878 3.65E-17-6.04154792-45699712 -6,04154792 -4.5699712 Q: Write the regression line equation