Analysis of the causes of the influence of the industrial economy on the social economy based on multiple linear regression equation

Sources of variation	Sum of squares	Degrees of freedom	The variance
Regression model	$E S S = {\sum ({\hat{Y}}_{i} - \bar{Y})}^{2}$	k	$\sum^{} {({\hat{Y}}_{i} - \bar{Y})}^{2} / k$
Due to the remaining	$R S S = {\sum (Y_{i} - {\hat{Y}}_{i})}^{2}$	n–k–1	${\sum (Y_{i} - {\hat{Y}}_{i})}^{2} / (n - k - 1)$
Total variable	$T S S = \sum^{} {(Y_{i} - \bar{Y})}^{2}$	n–1	$\sum^{} {(Y_{i} - \bar{Y})}^{2} / (n - 1)$

City	Before the construction of high-speed rail	After the construction of the high-speed rail	Growth probability%
A	119.35	43.76	36.67
B	121.36	62.00	51.08
C	91.84	32.06	34.90
D	117.79	45.79	38.20

City	Before the construction of high-speed rail	After the construction of the high-speed rail	Growth probability
A	21.07	96.13	4.56
B	25.98	112.63	4.34
C	27.19	192.26	7.07
D	24.00	168.33	7.01

Section	Before the construction of high-speed rail	After the construction of the high-speed rail
A—B	2 h and 9 min	45 points
A—C	1 h and 08 min	41 points
B—C	2 h and 30 min	1 h and 3 min
A—D	30 per minute	14 points

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Argomenti della rivista:: Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro