Explain what is wrong with the following statements about correlation and regression.
a. The correlation between the number of years of education and yearly income is 1.23.
b. The regression equation that describes the relationship between the age of a used Ford Mustang and its value is  ŷ = −1,000x + 10,000 where the explanatory variable is the age of the automobile (in years) and the response is its value (in dollars). The correlation describing this relationship is 0.83.