I have done a regression model where i determine the number of cubes (independent variable) based on the amount of units i started with for each product type (dependent variables,
X1, X2, X3, X4, X6, X9, X10, X15). But i would like a second opinion on the results, because the tests for heteroscedasticity i did (Breusch-Pagan and white test) suggests my data has heteroscedasticity. But i think it is because i have alot of data (500 000 observations). Looking at the graphs below i don't seem to pick up much heteroscedasticity, although there do seem to be outliers in my data. But i would like to have a second opinion and want to know does my results look fine so that i can use this regression model and can assume (1) my residuals close enough to a normal distribution and (2) there is little sign of heteroscedasticity?
Here is the coefficients
Coef Estimate Std. Error t value Pr(>|t|)
X1 0.023493012 0.000497393 47.23233675 0
X2 0.002248871 0.000777214 2.893502743 0.003811022
X3 0.069934116 0.000484908 144.2215372 0
X4 0.084532734 0.000883563 95.67252408 0
X6 0.014607296 0.000458375 31.86759025 4.43E-221
X9 0.409846348 0.001738917 235.6905778 0
X10 0.128915999 0.000468583 275.1187379 0
X15 0.042864773 0.001276817 33.57157987 6.58E-245
Adj R-squared: 0.8158
F-stat: 3.47e+04, p-value < 2.2e-16
Here is all the graphs.