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2 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. E Reg. Statis 361 MR 0545022 Standard to 12852934 Obro ANOVA Repression Fyficance 14116.299234116.2932 213.098 3.645638-17 * BO575793 160.096732 10199.975 MS Cicle Standard Era Shut Puolue Lower 95 Upper 95% Lower 95.0% Upper 95.0% 12425291 1.56667774, 36.9066336 2.268-31 1174371269 1306839 117437427 132.06839 35038343079159787 1850-176.0425479245699712 -5.04154792 45699712 Q: Interpret the Square 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 RSquare 0.8486647 Adjusted Souare 0.8446822 Standard Error 12652934 Observations 40 ANOVA Regression Residual Total SS MS Significance 1 34116.2992 34116.2992 213.098 3.645638-17 38 6083.575798 160.096732 39 A0199975 Year Coefficients Standard Error Stat P.volue Lower 95% Upper 95% Lower 95.0% Upper 95.0% 124.25291 3.366677248 36.9066886, 2268-31 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 2 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. E Reg. Statis 361 MR 0545022 Standard to 12852934 Obro ANOVA Repression Fyficance 14116.299234116.2932 213.098 3.645638-17 * BO575793 160.096732 10199.975 MS Cicle Standard Era Shut Puolue Lower 95 Upper 95% Lower 95.0% Upper 95.0% 12425291 1.56667774, 36.9066336 2.268-31 1174371269 1306839 117437427 132.06839 35038343079159787 1850-176.0425479245699712 -5.04154792 45699712 Q: Interpret the Square 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 RSquare 0.8486647 Adjusted Souare 0.8446822 Standard Error 12652934 Observations 40 ANOVA Regression Residual Total SS MS Significance 1 34116.2992 34116.2992 213.098 3.645638-17 38 6083.575798 160.096732 39 A0199975 Year Coefficients Standard Error Stat P.volue Lower 95% Upper 95% Lower 95.0% Upper 95.0% 124.25291 3.366677248 36.9066886, 2268-31 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
