Data Set: { (1, 4), (2, 6), (3, 8), (4, 10), (5, 12), (6, 14), (7, 16) } 1. The regression line is: y = + 2. Based on the regression line, we would expect the value of response variable to be when the explanatory variable is 0. 3. For each increase of 1 in of the explanatory variable, we can expect a(n) increase of in the response variable. 4. If x = 3.5, the y = This is an example of extrapolation 5. The correlation coefficient is r (Round to the nearest hundredth.)