base on this data write me a results that looks like the exmaple i gave you

3-way ANOVA testing the effect of location (near vs far), week (2 vs 3), season (fall vs spring) and water height as a covariate on temperature Analysis of Variance Variables Levels LOCATIONS (2 levels) far near SEASONS (2 levels) Fall Spring WEEK (2 levels) 2.0000 3.0000 Dependent Variable TEMPERATURE N 158 Multiple R 0.5719 Squared Multiple R 0.3271 Analysis of Variance Source Type III SS df Mean Squares F-Ratio p-Value SEASONS 404.5988 1 404.5988 39.6379 0.0000 WEEK 81.8590 81.8590 8.0196 0.0053 LOCATIONS 7.6280 1 7.6280 0.7473 0.3887 SEASONS*WEEK 4.5187 4.5187 0.4427 0.5069 SEASONS*LOCATIONS 3.827 3.8271 0.3749 0.5413 WEEK*LOCATIONS 1.4385 1 1.4385 0.1409 0.7079 SEASONS*WEEK*LOCATION$ 0.642 1 0.6423 0.0629 0.8023 WATER_HEIGHT 92.0373 1 92.0373 9.0168 0.0031 Error 1,520.8970 149 10.2074 Regression testing the relationship between water height and temperature VOLS Regression Dependent Variable TEMPERATURE N 158 Multiple R 0.2434 Squared Multiple R 0.0592 Adjusted Squared Multiple R 0.0532 Standard Error of Estimate 3.6919 Regression Coefficients B = (X'X)-1X'Y Effect Coefficient Standard Error Std. Tolerancet p-Value Coefficient CONSTANT 12.0151 0.4786 0.0000 25.1072 0.0000 WATER HEIGHT -0.0515 0.0164 -0.2434 1.0000 -3.1337 0.0021 Analysis of Variance Source ss df Mean Squares F-Ratio p-Value Regression 133.8498 1 133.8498 9.8204 0.0021 Residual 2,126.2519 156 13.6298