Answer:
Step-by-step explanation:
Hello!
You need to find the linear regression model that predicts Runs based on the number of Hits using the information of 6 Baseball Teams.
The dependent variable is:
Y: Number of runs made by a baseball team.
The explanatory variable is
X: Number of hits made by a baseball team.
The estimated regression model is
^Y= a + bX
Using the given data you have to estimate the intercept and the slope of the linear model.
a= -311.58
b= 0.74
^Y= -311.58 + 0.74X
The coefficient of determination for this regression model is R²=0.75
This means that 75% of the variability of the number of runs made by the teams can be explained by the number of hits, under the estimated model
^Y= -311.58 + 0.74X
I hope it helps!
