Question: Regression Statistics Multiple R 0.9654 R Square 0.9320 Observations 20 Coefficients Standard Error T Stat P-Value Intercept 21,360 8,137 2.63 0.017 Production (X) 5.84 0.5430
| Regression Statistics | |
| Multiple R | 0.9654 |
| R Square | 0.9320 |
| Observations | 20 |
| Coefficients | Standard Error | T Stat | P-Value | |
| Intercept | 21,360 | 8,137 | 2.63 | 0.017 |
| Production (X) | 5.84 | 0.5430 | 10.76 | 0.000 |
Suppose that you need to interpret the above regression analysis output of the product cost to someone who knows little about statistics.
Follow what I explained in the lecture video and interpret the output in your own plain words. NO plagiarism.
Hint: Explain the above numbers and how we use them to analyze or estimate product costs (including but not limited to R-square, coefficients, confidence intervals, p-value, etc.).
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