kindly interpret the R squared In order to test its job candidates' technical skills, a company creates

kindly interpret the R squared
 

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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 R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept years 0.92123 0.8486647 0.8446822 12.652934 40 SS MS Significance F 1 34116.2992 34116.2992 213.098 3.64563E-17 38 6083.675798 160.096732 39 40199.975 Coefficients Standard Error 124.25291 3.366677248 36.9066886 2.266-31 1174374269 131.06839 117.437427 131.06839 t Stot -5.3057596 0.363461019 14.597878 3.65E-17 -6.04154792 4.5699712 -6.04154792 -4.5699712 Pivolue Lower 95% Upper 95% Lower 95.0% Upper 95.0% Q: Write the regression line equation h 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 R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept years 0.92123 0.8486647 0.8446822 12.652934 40 SS MS Significance F 1 34116.2992 34116.2992 213.098 3.64563E-17 38 6083.675798 160.096732 39 40199.975 Coefficients Standard Error 124.25291 3.366677248 36.9066886 2.266-31 1174374269 131.06839 117.437427 131.06839 t Stot -5.3057596 0.363461019 14.597878 3.65E-17 -6.04154792 4.5699712 -6.04154792 -4.5699712 Pivolue Lower 95% Upper 95% Lower 95.0% Upper 95.0% Q: Write the regression line equation h

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Regression Line Equation Y 12425291 53057596X Where Y is the time in minutes to complete the technic... View the full answer