2.1.1 Relationship between Age and Weight. Model Summary Table Conduct simple li
ID: 3226090 • Letter: 2
Question
2.1.1 Relationship between Age and Weight. Model Summary Table
Conduct simple linear regression for age and weight.
Looking at the Model Summary table:
What is the value of R? …………..
What does this tell us about the association between weight and age?
What is the value of R Square? …………..
What does this tell us about the model including age as a predictor of weight?
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.039a
.002
.000
12.287
a. Predictors: (Constant), weight in kgs
Relationship between age and weight – Anova Table
Looking at the ANOVA
What is the value of the F-Ratio? …………..
What are your conclusions about the model based on this table?
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
168.410
1
168.410
1.116
.291b
Residual
110355.486
731
150.965
Total
110523.896
732
a. Dependent Variable: age
b. Predictors: (Constant), weight in kgs
2.1.2 Relationship between Sex and Weight
Now repeat the simple regression for sex and weight:
Looking at the Model Summary table:
What is the value of R? …………..
What does this tell us about the association between weight and sex?
What is the value of R Square? …………..
What does this tell us about the model including sex as a predictor of weight?
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.496a
.246
.245
.412
a. Predictors: (Constant), weight in kgs
Looking at the Model Summary table:
What is the value of R? …………..
What does this tell us about the association between weight and age?
What is the value of R Square? …………..
What does this tell us about the model including age as a predictor of weight?
Explanation / Answer
value of R =0.039
this tells us that there is no association between weight and age as R value is very less
value of R Square =0.002
this tells us that 0.2% variation in age is explained by weight.
2)value of the F-Ratio =1.116
conclusions: as p value is greater then 0.05 level, we can not reject null hypothesis; that there is no correlation between age and weight
3)value of R =0.496
this tells us that there is moderate association between weight and age as R value is in b/w of 0 and 1
value of R Square =0.246
this tells us that 24.6 % of variation in gender is explained by weight
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.