The linear regression equation for a data set is y=-4.1+1.6x. The actual value at x=13 is 18.7. What is the residual value at x=13?
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1 + 1.6x \) at \( x = 13 \). \[ y = -4.1 + 1.6(13) \] Show more…
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The least-squares regression equation for a data set is ŷ = -4.1 + 1.6x. The actual y value at x = 6 is 8.2. What is the residual value at x = 6? Residual:
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Suppose we did a regression analysis that resulted in the following regression model: that = 11.4 + 1.6x. Further suppose that the actual value of y when x = 12 is 25. What would the value of the residual be at that point? Give your answer to 1 decimal place.
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