Based on the data shown below, calculate the regression line (each value to two decimal places) y%3D 4 12.86 15.3 6. 16.34 16.68 8. 21.12 19.26 10 22.7 11 22.84 12 26.48 13 28.12 Question Help: Video Message instructor Submit Question 5.
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracyFor the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.
- For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.Use the following data to perform a regression analysis. What is the null hypothesis? What is the alternative Hypothesis? What is the R2 Month Sales 1 132 2 131 3 134 4 140 5 141 6 142 7 144 8 143 9 146 10 145 11 148 12 148The following regression model was fitted to sample data with 12 observations: ŷ = 30 + 4.50x. What is the predicted value of y for a given value of x = 6? 57.00 43.40 4.50 36 30
- The following data shows the percent of females 18 years old or older who were overweight in the number of years indicated, judging on the basis of BMI. Year, Percent Obese 3 , 23.3 4, 23.7 5, 24.3 6, 25.6 7, 25.2 8, 27.6 9, 26.8 Using regression equation, predict the percent of overweight females in year 15.Given the partial results from a linear regression model below, a sample size of 504, and ɑ=0.05, What is the F-Statistic for the overall model? Is it statistically significant? What is the R2 for the regression model above?Given the following information, complete the regression source table and answer whether the model is significant at the 0.05 level. Use the exact values given in the table, and round the p-value to three decimal places. ANOVA df SS MS F p-value Regression 1 905.69 Residual 3 162.11 Total 4 find p vaule
- The following data is a regression model where the U.S. Department of Transportation has tried to relate the rate of fatal traffic accidents (per 1000 licenses) to the percentage of motorists under the age of 21. Data has been collected for 42 major cities in the United States. SUMMARY OUTPUT Regression Statistics Multiple R 0.83938748 R Square 0.70457134 Adjusted R Square 0.69718562 Standard Error 0.58935028 Observations 42 ANOVA df SS MS F Regression 1 33.13441764 33.1344 95.3964 Residual 40 13.89335048 0.34733 Total 41 47.02776812 Coefficients Standard Error t Stat P-value Intercept -1.5974138 0.371671454 -4.2979 0.00010 Percent Under 21 0.28705317 0.029389769 9.76711 3.79E-9…Based on the data shown below, calculate the regression line (each value to at least two decimal places)y = x + x y 2 19.55 3 18.7 4 19.25 5 17.3 6 19.85 7 18.9 8 18.85 9 18.3 10 15.35 11 16.2 12 18.35 13 14.7In a regression analysis involving 18 observations and four independent variables, the following information was obtained. Multiple R = .6000 R Square = .3600 Standard Error = 4.8000 Based on the above information, fill in all the blanks in the following ANOVA table. Is the model significant? ANOVA df SS MS F Regression ? ? ? ? Error ? ? ? Total ? ?