Data Set:
{(1, -2.5), (2,-4), (3, -5.5), (4, -6), (5, -6.5), (6,-8), (7,-8.5)}
1. The regression line is: y =
2. Based on the regression line, we would expect the value of
response variable to be
3. For each increase of 1 in of the explanatory variable, we can
expect a(n) decrease
of
in the response variable.
4. If x= 2.5, the =
interpolation
when the explanatory variable is 0.
Check
This is an example of
5. The correlation coefficient is r =
(Round to the nearest hundredth.)