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In the production of a certain metal, we suspect that monthly production (Y) in tons is dependent on the number of people working (X 1
In the production of a certain metal, we suspect that monthly production (Y) in tons is dependent on the number of people working (X1) in the factory and the amount of water used (X2), in cubic meters. The table below shows the data.
Production | Number of People | water (m3) |
---|---|---|
7107 | 129 | 3067 |
6373 | 141 | 2828 |
6796 | 153 | 2891 |
9208 | 166 | 2994 |
14792 | 193 | 3082 |
14564 | 189 | 3898 |
11964 | 175 | 3502 |
13526 | 186 | 3060 |
12656 | 190 | 3211 |
14119 | 187 | 3286 |
16691 | 195 | 3542 |
14571 | 206 | 3125 |
13619 | 198 | 3022 |
14575 | 192 | 2922 |
14556 | 191 | 3950 |
18573 | 200 | 4488 |
15618 | 200 | 3295 |
1. Write down the generic form of a regression line with two independent variables.
2. Identify the null and alternative hypotheses for this MLR.
3. Using Excel, find the following:
- Adjusted r2 value
- Equation of the regression line
- p-Value for the regression
- Whether or not the correlation is statistically significant (<0.03)
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