Coefficients: Intercept: 802.698 x: 0.037
Standard errors: x standard error: 0.307
T-values: Intercept: T-value: 1.912 x: T-value: -0.121
P values: Intercept: P value: 0.070 x: P value: 0.905
Notes: [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. [2] The condition number is large, 1.42e+03. This might indicate that there are strong multicollinearity or other numerical problems.
x_new_pred = model.predict(x)