1. Std.Error (. 1.1). , . Prob - , .
- 0,0022, , 0,01 = 99%.
: - 0,0005, , 0,01 = 99%
2. Coefficient Std.Error.
: 1% =[4860,86-1575,78*2,58; 4860,86+1575,78 *2,58] = [795,35; 8926,41]; 5% =[4860,86-1575,78*1,96; 4860,86+1575,78 *1,96] = [1772,33; 7949,39] 10% =[4860,86-1575,78*1,65; 4860,86+1575,78*1,65]= [2260,823; 7460,897].
: 1% =[315,55-90,05*2,58; 315,55+90,05*2,58] = [83,22; 547,879]; 5% =[315,55-90,05*1,96; 315,55+90,05*1,96] = [139,05;492,05 ] 10% =[315,55-90,05*1,65; 315,55+90,05*1,65] = [166,97;464,13].
3. R-squared = 0,035981. , 3, 6% salary education, 96,4% salary .
4. S ( S.E. of regression) Mean dependent var. S , . S = 5999,47 Mean dependent var = 10260,51, , .
5. Prob(F-statistic) , . Prob(F-statistic) = 0,000521, 0,01 ( 99%).
6. Equation Forecast, OK.
(SALARYF), Equation (. 1.3).
. 1.3
Mean Abs. Percent Error = 84,48, .
. Equation View => Actual, Fitted, Residual=> Actual, Fitted, Residual Graph. (. 1.4)
. 1.4
, (Actual) (Fitted) , (Reaidual) ( ). , .