width | weight | |
0.2625 | 0.003 | |
0.28 | 0.019 | |
0.39375 | 0.029 | |
0.4025 | 0.052 | |
0.4025 | 0.045 | |
0.4025 | 0.049 | |
0.41125 | 0.021 | |
0.41125 | 0.047 | |
0.41125 | 0.032 | |
0.42 | 0.054 | |
0.4375 | 0.031 | |
0.4375 | 0.065 | |
0.455 | 0.086 | |
0.455 | 0.094 | |
0.455 | 0.089 | |
0.525 | 0.06 | |
0.5425 | 0.184 | |
0.56 | 0.086 | |
0.595 | 0.133 | |
0.63875 | 0.182 | |
0.665 | 0.476 | |
0.665 | 0.244 | |
0.665 | 0.39 | |
0.665 | 0.113 | |
0.665 | 0.162 | |
0.6825 | 0.297 | |
0.6825 | 0.242 | |
0.6825 | 0.302 | |
0.6825 | 0.2 | |
0.7 | 0.342 | |
0.7 | 0.564 | |
0.7175 | 0.496 | |
0.735 | 0.34 | |
0.7525 | 0.329 | |
0.76125 | 0.814 | |
0.76125 | 0.553 | |
0.77 | 0.304 | |
0.7875 | 0.412 | |
0.7875 | 0.549 | |
0.7875 | 0.422 | |
0.805 | 0.346 | |
0.805 | 0.31 | |
0.81375 | 0.618 | |
0.8225 | 0.54 | |
0.8225 | 0.688 | |
0.8225 | 0.452 | |
0.8225 | 0.245 | |
0.83125 | 0.397 | |
0.8575 | 0.53 | |
0.8575 | 1.076 | |
0.8575 | 1.113 | |
0.8575 | 0.301 | |
0.8575 | 0.646 | |
0.875 | 1.179 | |
0.875 | 0.889 | |
0.875 | 0.658 | |
0.875 | 0.737 | |
0.875 | 0.632 | |
0.875 | 0.494 | |
0.8925 | 0.55 | |
0.91 | 0.936 | |
0.9275 | 0.375 | |
0.945 | 1.531 | |
1.015 | 0.39 | |
1.1025 | 0.627 | |
1.12 | 1.383 | |
1.1375 | 0.993 | |
1.1375 | 1.192 | |
1.155 | 1.242 | |
1.155 | 1.705 | |
1.1725 | 0.768 | |
1.1725 | 1.231 | |
1.19 | 0.618 | |
1.2075 | 1.794 | |
1.225 | 3.197 | |
1.2425 | 4.288 | |
1.2425 | 4.641 | |
1.2775 | 1.562 | |
1.2775 | 1.474 | |
1.295 | 1.722 | |
1.3125 | 3.631 | |
1.3125 | 1.257 | |
1.3125 | 4.125 | |
1.3125 | 2.354 | |
1.3125 | 2.032 | |
1.3125 | 4.002 | |
1.3125 | 2.343 | |
1.3125 | 1.981 | |
1.32125 | 4.56 | |
1.33 | 4.244 | |
1.33 | 4.677 | |
1.33 | 2.762 | |
1.33 | 3.334 | |
1.33 | 3.972 | |
1.3475 | 4.578 | |
1.3475 | 2.274 | |
1.3475 | 2.77 | |
1.3475 | 2.186 | |
1.35625 | 3.986 | |
1.365 | 4.243 | |
1.365 | 2.727 | |
1.365 | 3.7 | |
1.365 | 1.542 | |
1.37375 | 3.185 | |
1.3825 | 3.471 | |
1.3825 | 2.035 | |
1.3825 | 5.744 | |
1.4 | 4.804 | |
1.4175 | 2.38 | |
1.4175 | 4.666 | |
1.4175 | 5.193 | |
1.435 | 2.725 | |
1.435 | 5.326 | |
1.435 | 2.915 | |
1.4875 | 8.09 | |
1.4875 | 5.488 | |
1.54 | 8.353 | |
1.54 | 6.926 | |
1.54 | 9.296 | |
1.5925 | 5.031 | |
1.61 | 9.106 | |
1.6275 | 5.254 | |
1.645 | 3.102 | |
1.68 | 2.721 | |
1.68 | 6.793 | |
1.75 | 6.366 | |
1.82795699 | 8.736 | |
1.84946237 | 4.144 | |
1.87096774 | 8.512 | |
1.89247312 | 19.864 |
We can predict mass of hydropsyche from head capsule width using regression analysis. Following are the steps that are followed for doing regression analysis:
1. On the Data tab, in the Analysis group, click the Data Analysis button.
2. Select Regression and click OK.
3. In the Regression dialog box, configure the following settings:
4. Click OK and observe the regression analysis output created by Excel.
Following the regression analysis output:
Based on coefficient table, we can write regression equation as follows:
Weight = -3.430 + 5.390*Width
So, researchers can predict mass of hydropsyche from head capsule width using above regression equation.
Hydropsyche caddisflies are macroinvertebrates that live in streams. Researchers want to be able to estimate the mass...