SUMMARY OUTPUT

Regression Statistics

Multiple R $0\mathrm{.}8774$

R Square $0\mathrm{.}7698$

Adjusted R Square $0\mathrm{.}7442$

Standard Error $33139\mathrm{.}4989$

Observations $21\mathrm{.}0000$

ANOVA

df SS MS F Significance F

Regression $2\mathrm{.}000066100197320\mathrm{.}496233050098660\mathrm{.}248130\mathrm{.}09410\mathrm{.}0000$

Residual $18\mathrm{.}000019768074980\mathrm{.}74191098226387\mathrm{.}8190$

Total $20\mathrm{.}000085868272301\mathrm{.}2381$

Coefficients Standard Error t Stat P$-$value Lower $95\%$ Upper $95\%$

Intercept $36369\mathrm{.}058844039\mathrm{.}57720\mathrm{.}82580\mathrm{.}4197-56154\mathrm{.}6596128892\mathrm{.}7771$

Units X $193\mathrm{.}223342\mathrm{.}59974\mathrm{.}53580\mathrm{.}0003103\mathrm{.}7247282\mathrm{.}7218$

MH X $5\mathrm{.}086318\mathrm{.}01910\mathrm{.}28230\mathrm{.}7810-32\mathrm{.}770542\mathrm{.}9431$

is there multicollinearity