In: Statistics and Probability
The table below gives the completion percentage and interception percentage for five randomly selected NFL quarterbacks. Based on this data, consider the equation of the regression line, yˆ=b0+b1x y ^ = b 0 + b 1 x , for using the completion percentage to predict the interception percentage for an NFL quarterback. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Completion Percentage 56.9 56.9 57 57 59 59 60.9 60.9 63.2 63.2 Interception Percentage 4.9 4.9 3.8 3.8 3 3 2 2 1.4 1.4
Sol"
use lm function in R software to fit a regression equation.
y-Interception_Percentage
x-Completion_Percentage
use coeffcient to get the coeffcients
Regresion eq is
Interception_Percentage=32.349522-0.493763 *Completion_Percentage
Y intercept=32.349522
slope=-0.493763
ANSWER:
Interception_Percentage=32.349522-0.493763 *Completion_Percentage