For a particular regression analysis, SST = 202.8421 and SSR = 190.6550. a. Obtain the coefficient of determination. b. Determine SSE.
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- For 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.
- Using the previous regression model, what salary would you expect a 23 year old male student with a 3.5 GPA to expect? Round your answer to 1 decimal and express in $1,000's (same format the Salary variable has in the Excel dataset, so $50,000 would be 50.0).If a multiple regression analysis is based on 10 independent variables collected from a sample of 125 observations, what is the value of the denominator in the calculation of the multiple standard error of estimate? Select one: a. 125 b. 10 c. 114 d. 115For the simple regression equation (a), conduct an individual significance tests at the 5% significance level to determine if SQFT is a significant predictor of Price. (Check photo for data)
- Using the previous regression model, what salary would you expect a student with a 3.1 GPA to expect? Round your answer to 1 decimal and express in $1,000's (same format the Salary variable has in the Excel dataset).Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.BASED ON THIS DATA, what does the r^2 values tell you? and the linear regression line is the information statistically significant?
- wrie down the estimated regression equation?For Data Set 9 in Appendix B, “Bear Measurements,” we get this regression equation: Weight = -274 + 0.426 Length + 12.1 Chest Size, with R2 = 0.928. Interpret the multiple coefficient of determination – what does this value tell us?Assume we have a population data, and the following values were obtained Mean of X=6, Standard deviation =2 Mean of Y = 11, standard deviation =3 R=-0.4. What is the slope and intercept of the regression line?