Predicting Summer Rainfall: Multiple Regression Analysis of Crop Data
VerifiedAdded on  2022/10/15
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Homework Assignment
AI Summary
This assignment presents a multiple regression analysis conducted using MS-Excel to predict the relationship between summer rainfall, growing season rainfall, and wheat yield. The analysis aims to determine the impact of growing season rainfall and wheat yield on summer rainfall. The student uses a dataset with historical rainfall and wheat yield data to build a regression model. The output includes regression statistics, ANOVA results, coefficients, standard errors, t-statistics, and p-values. The results indicate a significant linear relationship between the variables, with a correlation coefficient of 0.7356 and a coefficient of determination of 0.5411. The model's p-value is 0.006, indicating statistical significance. The student concludes that growing season rainfall and wheat yield significantly affect summer rainfall and that the fitted regression model sufficiently predicts summer rainfall. The assignment provides a practical application of multiple regression analysis in agricultural contexts.
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