(f)Based on your output (results), what is the correlation between weight and height? (g)Is there a statistically significant linear relationship between weight and height? Report both the t-test and F-test results for this(include the test statistics, df, p-value, and conclusion).
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
(f)Based on your output (results), what is the
(g)Is there a statistically significant linear relationship between weight and height? Report both the t-test and F-test results for this(include the test statistics, df, p-value, and conclusion).
![Regression
[DataSet2]
Variables Entered/Removed
Variables
Variables
Model
Entered
Removed
Method
Weight
1
Enter
a. Dependent Variable: Height
b. All requested variables entered.
Model Summary
Change Statistics
Adjusted R
Square
R Square
Change
Sig. F
Change
Std. Error of
Model
R Square
the Estimate
F Change
df1
df2
1
.494a
.244
.221
2.26127
.244
10.665
1
33
.003
a. Predictors: (Constant), Weight
ANOVA
Sum of
Model
Squares
df
Mean Square
F
Sig.
1
Regression
54.534
1
54.534
10.665
.003b
Residual
168.741
33
5.113
Total
223.275
34
a. Dependent Variable: Height
b. Predictors: (Constant), Weight](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Feef72c94-d59d-478e-9030-e3b119ce1179%2Fde01b5a8-7f3d-465c-bf41-ed9692f89c75%2F2jnhk3e_processed.png&w=3840&q=75)
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