question number 9. suppose that the lsrl for the appraised value (in thousands of dollars) and number of…

question number 9. suppose that the lsrl for the appraised value (in thousands of dollars) and number of rooms for houses in east meadow, new york is 𝑦 = 19.718𝑥 + 74.80. predict the price of a 9 - room house (in thousands of dollars).\n370.262\n756.786\n257.262\n362.262\n252.262\nnone of the above

question number 9. suppose that the lsrl for the appraised value (in thousands of dollars) and number of rooms for houses in east meadow, new york is 𝑦 = 19.718𝑥 + 74.80. predict the price of a 9 - room house (in thousands of dollars).\n370.262\n756.786\n257.262\n362.262\n252.262\nnone of the above

Answer

Explanation:

Step1: Identify the linear - regression equation and the value of x

The least - squares regression line (LSRL) is (y = 19.718x+74.80), and we want to predict the price for a 9 - room house, so (x = 9).

Step2: Substitute (x = 9) into the equation

[ \begin{align*} y&=19.718\times9 + 74.80\ &=177.462+74.80\ &=252.262 \end{align*} ]

Answer:

252.262