A least squares regression line a. can be used to predict a ...

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A least squares regression line
 a. can be used to predict a value of y if the corresponding x value is given.
  b. implies a cause-and-effect relationship between x and y.
  c. can only be determined if a good linear relationship exists between x and y.
  d. ensures that the predictions of y outside the range of the values of x are valid.

Question 2

The miles-per-gallon obtained by the 1995 model Z cars is normally distributed with a mean of 22 miles-per-gallon and a standard deviation of 5 miles-per-gallon.
 a. What is the probability that a car will get between 13.35 and 35.1 miles-per-gallon?
  b. What is the probability that a car will get more than 29.6 miles-per-gallon?
  c. What is the probability that a car will get less than 21 miles-per-gallon?
  d. What is the probability that a car will get exactly 22 miles-per-gallon?

[briezy]

Answer to Question 1

a

Answer to Question 2

a. 0.9538
b. 0.0643
c. 0.4207
d. 0.0000

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TYSM

[patma1981]

Thanks for the timely response, appreciate it