Question

Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is Estimated College GPA=2.02+0.2752(High School GPA). Estimated College GPA = 2.02 + 0.2752 ( High School GPA ) . GPAs College GPA High School GPA 2.80 2.80 2.04 2.04 3.39 3.39 4.06 4.06 2.20 2.20 2.05 2.05 2.70 2.70 3.63 3.63 3.11 3.11 4.42 4.42 3.17 3.17 2.88 2.88 Step 3 of 3 : Compute the standard error (se s e ) of the model. Round your answer to four decimal places.

Answer #1

sr | x | y | (x-xbar)^2 | (y-ybar)^2 | (x-xbar)*(y-ybar) |

1 | 2.04 | 2.8 | 1.2996 | 0.009025 | 0.1083 |

2 | 4.06 | 3.39 | 0.7744 | 0.245025 | 0.4356 |

3 | 2.05 | 2.2 | 1.2769 | 0.483025 | 0.78535 |

4 | 3.63 | 2.7 | 0.2025 | 0.038025 | -0.08775 |

5 | 4.42 | 3.11 | 1.5376 | 0.046225 | 0.2666 |

6 | 2.88 | 3.17 | 0.09 | 0.075625 | -0.0825 |

sum |
19.08 |
17.37 |
5.181 |
0.89695 |
1.4256 |

mean | 3.18 | 2.895 | SXX | SYY | Sxy |

slope=sxy/sxx | 0.275159236 | 14.30828 | |||

intercept=ybar-(slope*xbar) | 2.019993631 | 16.328274 | |||

sxy^2/sxx | 0.392267 | ||||

SSE | syy-sxy^2/sxx | 0.504683 | |||

error
variance ^{2} |
s^{2}=SSE/(n-2) |
0.1009366 | |||

Se |
se=s^{2} |
0.3177 |

#standard error =**0.3177**

Consider the following data regarding students' college GPAs and
high school GPAs. The estimated regression equation is
Estimated College GPA=4.06+(−0.3181)(High School GPA).
GPAs
College GPA
High School GPA
2.46
4.73
2.15
4.18
3.36
2.71
3.45
2.99
2.63
3.35
3.07
4.87
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=2.22+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 3 of 3 :
Compute the standard error (se) 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 is Estimated College
GPA=4.28+(−0.2134)(High School GPA).
college gpa
highschool gpa
3.86
3.15
3.95
2.27
2.86
4.02
3.42
3.08
3.94
4.71
3
4.51
Step 3 of 3 : Compute the standard error (se) 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 is
Estimated College GPA=2.29+0.1243(High School GPA).
GPAs
College GPA
High School GPA
2.45
4.90
2.35
2.51
3.82
4.44
2.20
3.26
2.07
3.76
3.58
2.98
Step 1 of 4 : Compute the sum of squared errors (SSE)
for the model. Round your answer to four decimal places.
Step 2 of 4: Compute the standard error (se) of the model. Round
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Plagiarism Certification Tests for Undergraduate College
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