Consider the following data regarding students' college GPAs and
high school GPAs. The estimated regression equation is
Estimated College GPA=3.26+(−0.0361) (High School
GPA).
GPAs |
|
College GPA |
High School GPA |
2.00 |
3.49 |
3.45 |
3.77 |
3.38 |
4.64 |
3.59 |
2.23 |
2.90 |
3.45 |
3.45 |
3.75 |
Step 3 of 3 :
Compute the standard error (s e ) of the model. Round your answer to four decimal places.
Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation...
Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is Estimated College GPA=3.26+(−0.0361)(High School GPA). Estimated College GPAs College GPA High School GPA 2.00 3.49 3.45 3.77 3.38 4.64 3.59 2.23 2.90 3.45 3.45 3.75 Step 1 of 3 : Compute the sum of squared errors (SSE) for the model. Round your answer to four decimal places.
Estimated College GPA=3.26+(−0.0361)(High School GPA). GPAs College GPA High School GPA 2.00 3.49 3.45 3.77 3.38 4.64 3.59 2.23 2.90 3.45 3.45 3.75 Step 2 of 3 : Compute the mean square error (s 2 e ) for the model. Round your answer to four decimal places.
Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is Estimated College GPA=2.22+0.3649(High School GPA).Estimated College GPA=2.22+0.3649(High School GPA). GPAs College GPA High School GPA 2.78 3.34 3.70 2.14 2.27 2.09 3.47 2.93 3.14 2.26 3.95 3.66 Step 2 of 3 : Compute the mean square error (S2e) for the model. Round your answer to four decimal places.
Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is Estimated College GPA=3.12+0.0110(High School GPA). GPAs College GPA High School GPA 2.44 2.39 3.05 3.63 3.82 2.76 2.37 3.00 3.35 2.44 3.88 2.88 Step 1 of 3 : Compute the sum of squared errors (SSE) for the model. Round your answer to four decimal places.
Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is Estimated College GPA=2.91+0.1374(High School GPA). GPAs College GPA High School GPA 3.28 4.68 3.36 4.69 3.10 2.15 3.81 4.38 3.86 3.44 3.07 2.59 Step 1 of 3 : Compute the sum of squared errors (SSE) for the model. Round your answer to four decimal places.
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. Students with higher High colgpa-: Grade point average in college (Range 085-397 ) hsgpa High school GPA (Range 2.29-4.5) school GPA are expected to do better in college. Model 1: OLS, N 427 Dependent variable: colgpa coefficient 0.9 0.4 std. error const hsgpa 0.15 R-squared: 0.854880 a. (3%) Write the ea ation for the least-squares regression line:...
A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. school GPA are expected to do better in college. Students with higher High colgpa-Grade point average in college (Range 0.85 -3.97) hsgpaHigh school GPA (Range 2.29-4.5) Model 1: OLS, N-427 Dependent variable: colgpa coefficient std. error const hsgpa 0.5 0.15 R-squared: 0.854880 a. (3%) Write the equation for the least-squares regression line: y- b. (396) The null hypothesis is:...
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. Students with higher High school GPA are expected to do better in college. colgpa Grade point average in college (Range 0.85-3.97) hsgpa High school GPA (Range 2.29-4.5) Model 1: OLS, N-427 Dependent variable: colgpa std. error 0.8 0.5 const hsgpa 0.1 R-squared: 0.854880 ,- a. (3%) write the equation for the least-squares regression line: b. (3%) The...
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. Students with higher High school GPA are expected to do better in college colgpa Grade point average in college (Range 0.85 3.97) hsgpa High school GPA (Range 2.29-4.5) Model 1: OLS, N -427 Dependent variable: colgpa coefficient 0.9 0.4 std. error const hsgpa 0.15 R-squared: 0.854880 a. (3%) Write the equation for the least-squares regression line: y-...
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA Students with higher High school GPA are expected to do better in college. colgpa = Grade point average in college (Range 0.85 -3.97) hsgpa = High school GPA (Range 2.29 -4.5) Expand Model 1: OLS, N=427 Dependent variable: colgpa coefficient std. error const 0.8 hsgpa 0.6 0.1 R-squared: 0.854880 a. Write the equation for the least squares...