This is a SAS question so please answer with a SAS program, thank you!
Here's the data file you'll need to read in:
12 1 1
9 1 1
8 1 1
13 1 2
15 1 2
14 1 2
16 2 1
14 2 1
12 2 1
20 2 2
16 2 2
16 2 2
18 3 1
25 3 1
20 3 1
25 3 2
27 3 2
29 3 2
Note that the data arise from a designed experiment, so you should fit the full model with yield as the response variable and your two dummy variables for light (called light1 andlight2, say) and your one dummy variable for water (called water1, say) as the predictor variables. Then, based on your analysis results, answer these questions:
What proportion of the variation in yield is explained by light1, light2, and water1?
What is the predicted tomato yield when a potted plant receives 10 hours of light and 2 quarts of water?
Does any one (or more) observations in the data set unduly influence the estimated regression equation?