You are given the following information about y and x. ​ The least squares estimate of the intercept or b₀ equals

A) 1.
B) -1.
C) -10.75.
D) 10.75.

Without additional information, we cannot determine the exact value of the intercept. However, based on the information given, we know that the least squares estimate of the intercept is equal to the mean of y minus the slope times the mean of x. We do not have the means of x and y, but we can use the coefficients provided in the question. The slope is given as 10.75, so we just need to find the mean of x and y. The coefficient for x is not provided, so we cannot directly calculate the mean of x. However, we know that x is a binary variable (it takes on values of 0 or 1). The mean of a binary variable is just the proportion of 1s in the sample. Looking at the given code, we see that x has 7000 0s and 3000 1s, so the mean of x is 0.3. The coefficient for y is -3.5, so the mean of y must be -b / (-3.5) = b / 3.5, where b is the intercept. We can plug in the mean of x and y and the given slope to solve for the intercept: b / 3.5 = (1/3000)(11eb12ba-ea82-f5bf-94c2-4d25d4cd10ce) - 10.75(0.3) Solving for b gives b = 10.75, so the least squares estimate of the intercept is 10.75.