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hat y=29.1270+.5906 x_{1}+.4980 x_{2} a. Interpret b_1 and b_2 in this estimated regression equation. b_1= b_2= - Select your answer - b. Estimate y when

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Final answer:

The coefficients b_1 and b_2 in the regression equation represent the slopes for x_1 and x_2, indicating how much y is expected to increase when each independent variable increases by one, while holding the other variable constant.

Step-by-step explanation:

The regression equation given is y=29.1270 + .5906x_1 + .4980x_2. In this equation, the coefficients b_1 and b_2 represent the slope of each independent variable x_1 and x_2 respectively. Specifically, b_1 = .5906 means that for every one-unit increase in x_1, the dependent variable y is expected to increase by about .5906 units, holding x_2 constant. Similarly, b_2 = .4980 indicates that for every one-unit increase in x_2, y is expected to increase by about .4980 units, holding x_1 constant.

To estimate y for specific values of x_1 and x_2, you would substitute those values into the equation. However, if the problem does not provide specific values for these variables, y cannot be estimated without further information.

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