>Im(Price~Enginesize+RPM+Weight, data=Cars93)
call:
Im<formula = Price ~ Enginesize + RPM + Weight, data = Cars93)
Coefficients:
(Intercept) Enginesize RPM Weight
-51.793292 4.305387 0.007096 0.007271
>summary(Lm(Price~EnginesizetRPM+Weight, data=Cars93))
Call:
lm(formula = Price ~ Enginesize + RPM + Weight, data = Cars93)
Residuals :
Min 1Q Median 3Q Max
-10.511 -3.806 -0.300 1.447 35.255
Coeffcients:
Estimate Std. Error t value Pr(ItI)
(Intercept) -51.793292 9.106309 -5.688 1.62e-07 ***
Enginesize 4.305387 1.324961 3.249 0.00163 **
RPM 0.007096 0.001363 5.208 1.22e-06 ***
Weigh 0.007271 0.002157 3.372 0.00111 **
--Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' '1
Residual standard error: 6.504 on 89 degrees of freedom
Multiple R-squared: 0.5614, Adjusted R-squared: 0.5467
F-statistic: 37.98 on 3 and 89 DF, p-value: 6.746e-16
t는 모집단끼리 평균 비교하는 거 아니에여?
call:
Im<formula = Price ~ Enginesize + RPM + Weight, data = Cars93)
Coefficients:
(Intercept) Enginesize RPM Weight
-51.793292 4.305387 0.007096 0.007271
>summary(Lm(Price~EnginesizetRPM+Weight, data=Cars93))
Call:
lm(formula = Price ~ Enginesize + RPM + Weight, data = Cars93)
Residuals :
Min 1Q Median 3Q Max
-10.511 -3.806 -0.300 1.447 35.255
Coeffcients:
Estimate Std. Error t value Pr(ItI)
(Intercept) -51.793292 9.106309 -5.688 1.62e-07 ***
Enginesize 4.305387 1.324961 3.249 0.00163 **
RPM 0.007096 0.001363 5.208 1.22e-06 ***
Weigh 0.007271 0.002157 3.372 0.00111 **
--Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' '1
Residual standard error: 6.504 on 89 degrees of freedom
Multiple R-squared: 0.5614, Adjusted R-squared: 0.5467
F-statistic: 37.98 on 3 and 89 DF, p-value: 6.746e-16
t는 모집단끼리 평균 비교하는 거 아니에여?
단일 모집단 평균 검정도 t분포로 하는데
아 그러네요? 여튼 여기서 회귀계수의 t값은 무슨 의미인가요?
회귀계수가 0인지 아닌지 통계적으로 검정한거 - dc App