Data S05
{(1, -2.5), (2, -4), (3, -5.5), (4, -6), (5, -6.5), (6,-8), (7,-8.5)}
1. The regression line is: y =
4. If x= 2.5, the y =
✔
2. Based on the regression line, we would expect the value of response
variable to be
x when the explanatory variable is 0.
interpolation
x
3. For each increase of 1 in of the explanatory variable, we can expect a(n)
decrease
of
Xin the response variable.
5. The correlation coefficient is / = (Round to the nearest hundredth.)
