Provide an interpretation of the 

i) p-value of the estimated slope coefficient, 

ii) slope coefficient, and 

iii) R-squared

How does the value of the company change when the dollar depreciates?

How much economic exposure does the company have? Here you reach a conclusion based on your answers to 1 and 2 above.
 

Transcribed Image Text:

SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Change in Exchange 0.15507915 0.02404954 0.00722281 0.08743367 df 60 SS MS Coefficients Standard Error 1 0.01092608 0.01 Paste 1.42924619 58 0.44338948 0.00764465 59 0.45431556 F t Stat Significance F 0.23675266 P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 0.02896902 0.01134111 2.55433666 0.01328738 0.00626732 0.05167072 0.00626732 0.05167072 -0.8674536 0.72559241 -1.1955108 0.23675266 -2.3198846 0.58497742 -2.3198846 0.58497742 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Change in Exchange 0.15507915 0.02404954 0.00722281 0.08743367 df 60 SS MS Coefficients Standard Error 1 0.01092608 0.01 Paste 1.42924619 58 0.44338948 0.00764465 59 0.45431556 F t Stat Significance F 0.23675266 P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 0.02896902 0.01134111 2.55433666 0.01328738 0.00626732 0.05167072 0.00626732 0.05167072 -0.8674536 0.72559241 -1.1955108 0.23675266 -2.3198846 0.58497742 -2.3198846 0.58497742 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Change in Exchange 0.15507915 0.02404954 0.00722281 0.08743367 df 60 SS MS Coefficients Standard Error 1 0.01092608 0.01 Paste 1.42924619 58 0.44338948 0.00764465 59 0.45431556 F t Stat Significance F 0.23675266 P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 0.02896902 0.01134111 2.55433666 0.01328738 0.00626732 0.05167072 0.00626732 0.05167072 -0.8674536 0.72559241 -1.1955108 0.23675266 -2.3198846 0.58497742 -2.3198846 0.58497742 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Change in Exchange 0.15507915 0.02404954 0.00722281 0.08743367 df 60 SS MS Coefficients Standard Error 1 0.01092608 0.01 Paste 1.42924619 58 0.44338948 0.00764465 59 0.45431556 F t Stat Significance F 0.23675266 P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 0.02896902 0.01134111 2.55433666 0.01328738 0.00626732 0.05167072 0.00626732 0.05167072 -0.8674536 0.72559241 -1.1955108 0.23675266 -2.3198846 0.58497742 -2.3198846 0.58497742

Answer rating: 100% (QA)

i Interpretation of the pvalue of the estimated slope coefficient The pvalue of the estimated slope coefficient is a measure of the statistical signif... View the full answer