Σx = Σy = Σxy = Σχε a= b Equation of the regression line If x = 10, then y
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Statistics and Probability (You may use excel)
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| x | 1 | 2 | 4 | 6 | 7 |
| y | 340 | 323 | 289 | 255 | 238 |
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- If the correlation of the X's is equal to 1 or -1, then the regression cannot process. Why?If there is a positive correlation between X and Y, then the regression equation Y = bX + a will have _____.A fitted linear regression model is (y=10+2x ). If x = 0 and the corresponding observed value of y = 9, the residual at this observation is:
- also compute the regression equation in which you predict Y using X as the predictor variablehow to Compute the slope of the OLS regression equation. n=19 x=725 y=800 xy=33,30 x^2=31725 y^2= 35800I have some doubts regarding linear regression. if any 2 variables in X1, X2 AND Y have a positive correlation, then in the linear regression Y = b0 + b1X1 +b2X2 +e, will the sign of b1 and b2 both be positive? will the residuals that we get from linear regression will always be uncorrelated given X?
- If there is a positive correlation between X and Y then in the regression equation, Y = bX + a, ____.There is a linear regression: Yi = B0+ B1(Xi^2)+ ei present, where Xi is squared. ei ∼ N(0,σ2). How would I derive LSE for B0 and B1 and their variance?The estimated value of Y calculated from the regression equation is denoted as ____.
- 1. Determine the equation of the regression line to predict y by x. 2. Determine the coefficient of determination.Assume a person got score of 32.5 on Test A and a score of 95.25 on Test B. Using the regression equation (B' = 2.3A + 9.5), what is the error of prediction for this person?The estimate of b in the regression equation y=a+bx+error by the method of least square is