Mathematics, 18.02.2020 06:25 baeethtsadia
Given the linear regression equation:
y = 1.6 + 3.5x1 - 7.9x2 +2.0x3
a. Which variable is the response variable? How many explanatory variables are there?
b. If x1 = 2, x2 = 1 and x3 = 5, what is the predicted value for y?
c. Supposed the n = 12 data points were used to construct the given regression equation above, and that the standard error for the coefficient x1 is 0.419. Construct a 90% confidence interval for the coefficient of x1.
d. Using the information from part c and 5% level of significance, test the claim that the coefficient of x1 is different from 0. What does your conclusion mean in relation to x1 predicting y?
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Given the linear regression equation:
y = 1.6 + 3.5x1 - 7.9x2 +2.0x3
a. Whic...
y = 1.6 + 3.5x1 - 7.9x2 +2.0x3
a. Whic...
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