A real estate agent believes that the market price of a home is linearly related to the square footage of that home, and she would like to predict the market price based on the square footage. She randomly selects 20 houses in her region and records both variables. After verifying that all of the requirements are met, she runs a linear regression T-test on the data and finds the following: n = 20. r = 0.498, P = 0.048, t = 1977 y = 107.65x + 10500 y = 157, 500 Use the researcher's result to decide if the variables are linearly related, then make the best prediction for the market price of a home having 1250 square feet. O No prediction can be made. The variables are not linearly related and the best prediction is $145,063. The variables are linearly related and the best prediction is $145,063. The variables are not linearly related and the best prediction is $157,500. The variables are linearly related and the best prediction is $157,500