There are four treatment groups in the experiment, with 13 lizards within each treatment
T1: Brown lizard, brown leaf
T2: Brown lizard, green leaf
T3: Green lizard, green leaf
T4: Green lizard, brown leaf
Of the categorical variables and their interactions, which is more biologically important(e.g, which explains more of the variation in the response variable)? Calculate the percent of variation explained by each variables
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Brown leaves | Green leaves | |
Brown lizard | 8.088210 | 7.157375 |
Green lizard | 9.053549 | 10.004778 |
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Use underneath table to acquire MS and F-statisitc
degree of freedom | Sum of Squares | |
Lizard Color | 1 | 50.880 |
Leaf Color | 1 | 0.001 |
LizardColor:LeafColor(interaction) |
1 | 12.398 |
Residuals | 52 | 97.122 |
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For all F-statistics of LizardColor, LeafColor, and LizardColor:LeafColor(interaction), the critical value of F statisitc is 3.18(alpha = 0.05)
Sum of squares due to total=SST=50.880+0.001+12.398+97.122=160.401
Effect size for the categorical variables and their interactions:
percentage of variation for Lizard Color=(50.880/160.401)*100=31.72%
percentage of variation for Leaf Color=(0.001/160.401)*100=0.000006*100=0.0006%
percentage of variation for LizardColor:LeafColor(interaction)=(12.398/160.401)*100=0.0773*100=7.73%
Since percentage of variation for Lizard Color is maximum so Lizard Color is more biologically important (since it explains more of the variation in the response variable).
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