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Application of statistics - Essay Example

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= -35147.72 -11.17769 Age + 5157.439 edyrs – 8408.864 hf – 5001.22 bf and it is statistically significant at least 99% level since the p-value is 0.000. Therefore, for each salary increase the age of women decrease by 11.17769 while…
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Application of statistics
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Download file to see previous pages Therefore, for each salary increase the age of women increase by 2853.1137 while education years increase by 5346.696. The regression output also indicates that R2 is 0.4320 meaning that the independent variables can explain 43.20 % of the variability of the salary of men.
The predicted regression equation is sal. = -31459 -169.8513 Age + 498.166 edyrs + 0 hm+ 0 bm-5651.8 blackmale +3898.644 maleasian – 877.3625 malehispanic – 177.4859 maleedyrs -144.9187maleyos + 267.1677maleage + 951.4034yos and it is statistically significant at least 99% level since the p-value is 0.000. Therefore, for each salary increase the age of women reduces by 31459 while bm and bh the relationship is ...Download file to see next pagesRead More
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