In: Statistics and Probability
Find the linear regression equation (line of best fit), determine the correlation, and then make a prediction.
1. The table below gives the amount of time students in a class studied for a test and their test scores.
Graph the data on a scatter plot, find the line of best fit, and write the equation for the line you draw.
Hours Studied |
1 |
0 |
3 |
1.5 |
2.75 |
1 |
0.5 |
2 |
Test Score |
78 |
75 |
90 |
89 |
97 |
85 |
81 |
80 |
Linear Regression Equation: ____________________
Correlation Coefficient (r): _________
Type of Correlation: ______________________
Is the correlation strong? Explain
Using the linear regression equation predict
a students test score if they studied for 4 hours.
X: Hours Studied
Y: Test score
We can solve this question using excel.
First, enter data into excel.
Click on Data -------> Data Analysis --------> Regression ------->
Input
Input Y Range : select y values
Input X Range :select values of x.
Output Range: select an empty cell
---------> ok
We get
Linear Regression equation: y = 76.4064 + 5.4254*x
Correlation coefficient (r) = 0.7860
Type of correlation: There is positive correlation between two variables.
There is a moderate-strong correlation.
The predicted students test score for x = 4 is y = 76.4064 + 5.4254*4 = 98.108