Consider the ANOVA table for a simple linear regression given below. Analysis of variance (HINCP): Source Model Error DF Sum of squares Mean squares F 2 1086 727 3560 Corrected Total 729 4646 Computed against model Y=Mean(Y) How many predictor variables (or interaction terms) were considered in this regression? How many data points were considered in this regression? What is the approximate f statistic, rounded to the nearest 0.1? Pr > F < 0.0001 Type yes or no: does this analysis give us enough evidence to reject the null hypothesis?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 6SGR
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Consider the ANOVA table for a simple linear regression given below.
Analysis of variance (HINCP):
Source
Model
Error
DF Sum of squares Mean squares F
2
1086
727 3560
Corrected Total 729 4646
Computed against model Y=Mean(Y)
How many predictor variables (or interaction terms) were considered in this regression?
How many data points were considered in this regression?
What is the approximate f statistic, rounded to the nearest 0.1?
Pr > F
< 0.0001
Type yes or no: does this analysis give us enough evidence to reject the null hypothesis?
Transcribed Image Text:Consider the ANOVA table for a simple linear regression given below. Analysis of variance (HINCP): Source Model Error DF Sum of squares Mean squares F 2 1086 727 3560 Corrected Total 729 4646 Computed against model Y=Mean(Y) How many predictor variables (or interaction terms) were considered in this regression? How many data points were considered in this regression? What is the approximate f statistic, rounded to the nearest 0.1? Pr > F < 0.0001 Type yes or no: does this analysis give us enough evidence to reject the null hypothesis?
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