SUMMARY OUTPUT \begin{tabular}{|c|c|c|c|c|c|} \hline \multicolumn{2}{|c|}{ Regression Statistics } & & & & \\ \hline Multiple R & 0.303755 & & & & \\ \hline R Square & 0.092267 & & & & \\ \hline Adjusted R Square & 0.092263 & & & & \\ \hline Standard Error & 0.220123 & & & & \\ \hline \multirow{2}{*}{\multicolumn{6}{|c|}{ ANOVA }} \\ \hline & & & & & \\ \hline & \( \overline{d f} \) & SS & \( \overline{M S} \) & \( \bar{F} \) & Significance \( F \) \\ \hline Regression & 3 & 3369.398 & 1123.133 & 23179.2 & 0 \\ \hline Residual & 684118 & 33148.48 & 0.048454 & & \\ \hline Total & 684121 & 36517.88 & & & \\ \hline \end{tabular} \begin{tabular}{|c|c|c|c|c|c|c|c|c|} \hline & Coefficients & Standard Error & t Stat & P-value & Lower 95\% & Upper 95\% & Lower 95.0\% & Upper \( 95.0 \% \) \\ \hline Inte & 0.07561 & 0.000815 & 92.72652 & 0 & 0.074011875 & 0.077208 & 0.074012 & 0.077208 \\ \hline loan_amnt & \( -9.1 \mathrm{E}-07 \) & \( 2.56 \mathrm{E}-08 \) & -35.635 & \( 7.3 \mathrm{E}-278 \) & \( -9.6382 \mathrm{E}-07 \) & \( -8.6 \mathrm{E}-07 \) & \( -9.6 \mathrm{E}-07 \) & \( -8.6 \mathrm{E}-07 \) \\ \hline Emp Length & 0.023968 & 9.7E-05 & 247.1157 & 0 & 0.023778042 & 0.024158 & 0.023778 & 0.024158 \\ \hline DTI Bucket & -0.02278 & 0.000322 & -70.8158 & 0 & -0.023407942 & -0.02215 & -0.02341 & -0.02215 \\ \hline \end{tabular}
Added by Sarah G.
Close
Step 1
303755)**: This is the correlation coefficient which measures the strength and direction of a linear relationship between the model's predicted values and actual values. - **R Square (0.092267)**: This indicates that approximately 9.23% of the variance in the Show more…
Show all steps
Your feedback will help us improve your experience
Joanna Quigley and 85 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
SUMMARY OUTPUT Regression Statistics Multiple R 1 R Square 1 Adjusted R Square 65535 Standard Error 0 Observations 4 ANOVA df SS MS F Significance F Regression 3 19235.23924 6411.74641 #NUM! #NUM! Residual 0 0 65535 Total 3 19235.23924 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1412.72036 0 65535 #NUM! 1412.72036 1412.72036 1412.72036 1412.72036 X Variable 1 -616.63372 0 65535 #NUM! -616.63372 -616.63372 -616.63372 -616.63372 X Variable 2 757.72152 0 65535 #NUM! 757.721529 757.721529 757.721529 757.721529 X Variable 3 -506.28783 0 65535 #NUM! -506.28783 -506.28783 -506.28783 -506.28783 RESIDUAL OUTPUT Observation Predicted Y Residuals Standard Residuals 1 1.653 -2.47358E-13 -0.6238259 2 3.677 3.20188E-13 0.80750171 3 167.6 5.40012E-13 1.36188915 4 19.39 1.27898E-13 0.32255269 PROBABILITY OUTPUT Percentile Y 12.5 1.653 37.5 3.677 62.5 19.39 87.5 167.6
Sri K.
SUMMARY OUTPUT Regression Statistics Multiple R 0.473932054 R Square 0.224611592 Adjusted R Square 0.218853757 Standard Error 14.85665558 Observations 408 ANOVA df SS MS F Significance F Regression 3 25830.70959 8610.236529 39.00973242 3.69997E-22 Residual 404 89170.96688 220.7202151 Total 407 115001.6765 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 385.4384477 338.9966744 1.136997725 0.25621316 -280.9792491 1051.856144 GDP Per Capita (Thousands) 0.28651666 0.046941033 6.103756974 2.4315E-09 0.194237479 0.37879584 Population (Millions) 0.041979674 0.00443387 9.467954334 2.42102E-19 0.033263338 0.050696011 Year -0.191084928 0.169402359 -1.127994491 0.259991678 -0.524105098 0.141935242 Table 1
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
18,000,000+
Students on Numerade
Trusted by students at 8,000+ universities
Watch the video solution with this free unlock.
EMAIL
PASSWORD