Warren, a golf fan, was curious about how often professional golfers make successful putts from various distances. He looked at
a large sample of putts from different distances (in meters) and recorded the success rate for each distance. He noticed a strong negative linear relationship. Here is computer output from a least-squares regression analysis for predicting success rate based on putt distance
This answer is if the question asks, "Use this model to predict the success rate of putts from 5 meters". When you create your equation, 84.05-13.44(x), plug 5 into x and you get 16.85.
A correlation coefficient is a mathematical measure of certain kind of correlation, in sense a statistical relationship amid two variables
Negative correlation is a relationship amid two variables in which one variable rises as the other falls, and vice versa.
Values amid 0.7 and 1.0 (-0.7 and -1.0) implies a strong positive (negative) linear relationship amid the variables.
It is provided that Warren noticed a strong negative linear relationship between the success rate and putt distances.
This implies that as the putt distances are increasing the success rates are decreasing and as the putt distances are decreasing the success rates are increasing.
Every 3 days 1 pound of hay is used every day 1 pound of grain is used. There are 10 pounds of grain and 8 pounds of hay. On the 6th day there are 6 pounds of hay left and 6 pounds of grain left.
