SUMMARY OUTPUT

Regression Statistics

Multiple R $0\mathrm{.}7182$

R Square $0\mathrm{.}5158$

Adjusted R Square $0\mathrm{.}5015$

Standard Error $0\mathrm{.}0584$

Observations $36$

ANOVA

df SS MS F Significance F

Regression $10\mathrm{.}12340\mathrm{.}123436\mathrm{.}21200\mathrm{.}0000$

Residual $340\mathrm{.}11590\mathrm{.}0034$

Total $350\mathrm{.}2392$

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

Intercept $0\mathrm{.}00070\mathrm{.}0099-0\mathrm{.}07180\mathrm{.}9432-0\mathrm{.}02070\mathrm{.}0193$

SPY $0\mathrm{.}97440\mathrm{.}16196\mathrm{.}01760\mathrm{.}00080\mathrm{.}64531\mathrm{.}3034$

R$($SBUX$)=$ Intercept $+$ Bi $*$ R$($SPY$)+$ ei

Actual Returns for:

Date SPY SBUX

$10/1/20223\mathrm{.}2\%13\mathrm{.}0\%13.$ What must be Beta for SBUX?

A$.0\mathrm{.}0007$

B$.0\mathrm{.}0008$

C$.0\mathrm{.}5158$

D$.0\mathrm{.}9744$

E$.0\mathrm{.}0584$