Regression Analysis Data

Regression Statistics

Multiple R 0.455367
R Square 0.207359
Adjusted R Square -0.05685
Standard Error 771.6569
Observations 25

ANOVA

  Df SS MS F Significance F
Regression 6 2803928 467321.37 0.784815 0.59297
Residual 18 10718178 595454.32    
Total 24 13522106      
  Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 20951.14 8378.948 2.5004503 0.022287 3347.613 38554.67
sales 0.045043 0.079711 0.5650756 0.578998 -0.12242 0.212509
profits -0.00034 0.000487 -0.695761 0.495464 -0.00136 0.000684
assets -7.2E-05 9.27E-05 -0.781655 0.444578 -0.00027 0.000122
employees -0.03029 0.058051 -0.521801 0.608171 -0.15225 0.09167
sales experience -65.8086 93.28247 -0.705476 0.489544 -261.788 130.1708
tenure -22.3804 93.75432 -0.238713 0.814025 -219.351 174.5903

Data for Excel Multiple Regression

Salary Company Revenue Yrs Experience
45,200 100,000,000 2
47,600 100,000,000 4
47,400 100,000,000 4
50,100 100,000,000 7
53,200 100,000,000 8
49,800 100,000,000 8
45,100 200,000,000 2
45,400 200,000,000 2
46,700 200,000,000 3
46,500 200,000,000 3
53,500 200,000,000 8
55,100 200,000,000 10
45,100 400,000,000 1
46,700 400,000,000 3
48,200 400,000,000 4
51,900 400,000,000 6
52,600 400,000,000 6
52,400 400,000,000 7
55,100 400,000,000 8
55,400 400,000,000 8
56,400 400,000,000 9
56,300 400,000,000 10
57,800 400,000,000 10
50,200 500,000,000 5
50,700 500,000,000 5
52,500 500,000,000 6
55,200 500,000,000 8
57,200 500,000,000 9
45,200 700,000,000 1
45,500 700,000,000 1
47,800 700,000,000 3
49,600 700,000,000 4
49,900 700,000,000 4
48,900 700,000,000 4
52,300 700,000,000 5
53,800 700,000,000 6
54,100 700,000,000 6
58,400 700,000,000 9
59,100 700,000,000 10
59,700 700,000,000 10
46,200 1,000,000,000 2
48,100 1,000,000,000 3
47,500 1,000,000,000 3
49,800 1,000,000,000 4
50,200 1,000,000,000 4
54,500 1,000,000,000 6
57,900 1,000,000,000 8
58,200 1,000,000,000 8
58,500 1,000,000,000 8