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past 10 years data on rainfall and output of wheat in a certain village offered the following results. av. wheat output- 25qtl av. rainfall 20cms , variance of wheat output- 3qtl , variance of rainfall- 5 cms, r- 0.65, find the most likely wheat output per acre when rainfall is 35 cms
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past 10 years data on rainfall and output of wheat in a certain villag...
Calculation of Regression Equation


  • Regression equation: Y = a + bX

  • Where Y is the dependent variable (wheat output) and X is the independent variable (rainfall)

  • a = Y - bX

  • b = r * (SDy/SDx)

  • SDy = square root of variance of wheat output = square root of 3 = 1.73

  • SDx = square root of variance of rainfall = square root of 5 = 2.24

  • r = 0.65

  • a = 25 - 0.65 * (1.73/2.24) * 20 = 18.81

  • b = 0.65 * (1.73/2.24) = 0.50

  • Regression equation: Y = 18.81 + 0.50X



Prediction of Wheat Output


  • Given rainfall = 35 cms

  • Using regression equation: Y = 18.81 + 0.50 * 35 = 35.31

  • Therefore, the most likely wheat output per acre when rainfall is 35 cms is 35.31 quintals



Interpretation of Results


  • The regression equation indicates that there is a positive linear relationship between rainfall and wheat output in the village

  • For every one unit increase in rainfall, there is an expected increase of 0.50 quintals in wheat output

  • The coefficient of determination (r-squared) can be calculated as r^2 = 0.65^2 = 0.42

  • This means that 42% of the variation in wheat output can be explained by the variation in rainfall

  • However, it should be noted that there may be other factors that influence wheat output in the village, which are not accounted for in this analysis

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past 10 years data on rainfall and output of wheat in a certain village offered the following results. av. wheat output- 25qtl av. rainfall 20cms , variance of wheat output- 3qtl , variance of rainfall- 5 cms, r- 0.65, find the most likely wheat output per acre when rainfall is 35 cms Related: Correlation And Regression (Part - 1)?
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