The accompanying data file contains 20 observations on the binary response variable y along with the predictor variables x₁ and x₂.

Estimate the linear probability regression model and the logistic regression model. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) b. Compute the accuracy rates of both models. (Round coefficient estimates to at least 4 decimal places and final percentage answers to 2 decimal places.) c. Use the preferred model to predict yy^ for x₁= 60, and x₂ = 18. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.) Note: Report the probability between 0 and 1 (not in %).

y	x1	x2
1	38.62	9.88
1	71.51	9.14
0	57.55	19.11
1	52.23	19.33
1	79.73	19.93
1	63.93	16.7
0	61.87	20.66
0	41.02	25.28
0	63.43	21.78
1	52.28	19.05
1	56.49	12.24
0	61.12	24.24
1	53.43	8.88
1	51.72	13.07
1	76.66	14.02
0	32.51	10.19
0	65.24	23.78
1	56.15	11.17
0	44.66	20.99
0	45.6	10.25