A 95% confidence interval for the slope is: (0.011983796, 0.09566745) (0.0119837

Question

A 95% confidence interval for the slope is:

(0.011983796, 0.09566745)

(0.011983796, 10.03595208)

(-0.390044606, 0.09566745)

(-0.390044606, 10.03595208)

None of the above

(0.011983796, 0.09566745)

(0.011983796, 10.03595208)

(-0.390044606, 0.09566745)

(-0.390044606, 10.03595208)

None of the above

Using the information in the table you estimate the regression line: YIntercept +Slope X. You obtain the following output: Multiple R. eR 0.754525991 R Square 0.569309472 Adjusted R Square 0.507782253 Standard Error 1.977472261 Observations Df MS Significance F 1 36.18277975 36.18277975 9.2529694510.018797321 727.3727758 3.910396543 8 63.55555556 Regression Residual Total Coefficients Standard Error Stat P-value Lower 95% Upper 95% Intercept 4.82295373 2.20457789 2.187699404 0.064898813-0.390044606 10.03595208 0.0538256230.017694916 3.041869401 0.0187973210.011983796 0.09566745

Explanation / Answer

Confidence interval corresponding to the independent variable X is the 95% confidence interval for the slope. So 95% confidence interval for the slope is (0.011983796, 0.09566745).

Related Questions

Navigate

• Browse (All)
• Browse A
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.