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Minitab Assignment. This data looks at the following parameters to predict the total derived employment (1) Unemployment (2) POP: non-institutional population age 14 and over.

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Minitab Assignment. This data looks at the following parameters to predict the total derived employment

(1) Unemployment (2) POP: non-institutional population age 14 and over.

Dummy Weights should be utilized.

image text in transcribed

employment unemployment POP 60323 61222 60171 61187 60221 63639 64989 2956 100000 2325 108632 3682 109773 3351 110929 2099 111001 1923 113270 1870 115094 3578 116219 2904 117388 2822 119734 2936 120445 4681 121950 3183 123366 3931 125368 4906 127852 4007 131081 66019 68857 68169 66513 68655 69564 69931 70551 1 again, but this time using both unemployment and POP i) IGNORE INTERACTIONS for now ii) Give the least squares estimate regression line using both predictors iii) which model is better to predict employment: one with no predictors or one with both predictors. Justify our answer iv) What are the least squares estimate coefficient of the intercept, and both predictors v) How much variability in employment can be explained by both predictors? vi) Keeping the POP constant, what is the associated change in employment for every person that becomes unemploved? vii) Keeping the unemployment constant, what is the associated change in employment for every one person increased in POP? v Test to see if the parameters-0. employment unemployment POP 60323 61222 60171 61187 60221 63639 64989 2956 100000 2325 108632 3682 109773 3351 110929 2099 111001 1923 113270 1870 115094 3578 116219 2904 117388 2822 119734 2936 120445 4681 121950 3183 123366 3931 125368 4906 127852 4007 131081 66019 68857 68169 66513 68655 69564 69931 70551 1 again, but this time using both unemployment and POP i) IGNORE INTERACTIONS for now ii) Give the least squares estimate regression line using both predictors iii) which model is better to predict employment: one with no predictors or one with both predictors. Justify our answer iv) What are the least squares estimate coefficient of the intercept, and both predictors v) How much variability in employment can be explained by both predictors? vi) Keeping the POP constant, what is the associated change in employment for every person that becomes unemploved? vii) Keeping the unemployment constant, what is the associated change in employment for every one person increased in POP? v Test to see if the parameters-0

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