[26-27] An insurance agent has selected a sample of drivers that she insures whose ages are in the range from 16 to 42 years. For each driver, she records the age of the driver (x) and the dollar amount of claims (y) that the driver filled in the previous 12 months. A scatterplot showing the dollar amount of claims as the response and the age as the predictor shows a linear trend. The least squares regression line is determined to be: y = 3715-75.4x. A plot of the residuals versus age of the drivers showed no pattern, and the following were reported: r² = 0.822 and the standard deviation of the residual is 312.1. 26. Which of the following is correct? (a) If the age of a driver increases from 20 to 21, the dollar amount of claims is expected to decrease by $75.4 on average. (b) If the age of a driver increases by one year, the dollar amount of claims is predicted to increase by $3715. (c) One can use the least squares regression line to obtain a reliable prediction of the dollar amount of claims for a driver whose age is 55 years. (d) The dollar amount of claims for a driver of 10 years old is expected to be $2961. Which of the following is false? (a) 82.2% of the variation in the dollar amounts of claims is explained by the age of the driver. The correlation coefficient, r, between the response and the predictor is 0.907. (b) (c) If there are 38 drivers included in this model, then SSE=3506631 (SSE: sum of squared residuals). (d) If the unit of y changes from dollar to thousand dollars, r² remains unchanged. for the $1.000) and advertising (in $1,000) resulted in the following 27.

If x² - y² = 9, and xy = 3, what is the value of x + y

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I would like to know if I can use the numeric solver function on the calculator to double check my works afterwards. I havent quite figured out how to do that on a TI-84 calculator. For instance for this problem the final answer I got is -92=x. How can I use my TI-84 to double check my work and solve for x.