document.write( "Question 1182549: Here is the Agri-Data, mention the name of dependent and independent variables.
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document.write( "Part A: Prepare the line of regression Y on X. (5 Marks)
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document.write( "Part B: Calculate r2 (coefficient of determination). Interpreted the byx.\r
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document.write( "District_2 / Rapeseed & Mustard Production in Metric tonnes / Rapeseed & Mustard Area ( Hectare)
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document.write( "Uttar Kashi/ 437/ 873
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document.write( "Chamoli/ 193/407
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document.write( "Rudra Prayag/ 154/325
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document.write( "Tehri Garhwal/ 466/848
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document.write( "Dehradun/ 139/226 \n" );
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Algebra.Com's Answer #849923 by CPhill(1987) You can put this solution on YOUR website! Here's the analysis of the Agri-Data:\r \n" ); document.write( "\n" ); document.write( "**Dependent and Independent Variables:**\r \n" ); document.write( "\n" ); document.write( "* **Dependent Variable (Y):** Rapeseed & Mustard Production (Metric Tonnes) - This is what we are trying to predict or explain. \n" ); document.write( "* **Independent Variable (X):** Rapeseed & Mustard Area (Hectare) - This is the variable we are using to predict production.\r \n" ); document.write( "\n" ); document.write( "**Part A: Line of Regression Y on X**\r \n" ); document.write( "\n" ); document.write( "The line of regression Y on X has the form: Y = a + bX\r \n" ); document.write( "\n" ); document.write( "Where:\r \n" ); document.write( "\n" ); document.write( "* b (slope) = \[Σ(Xi - X̄)(Yi - Ȳ)] / \[Σ(Xi - X̄)²] \n" ); document.write( "* a (intercept) = Ȳ - bX̄\r \n" ); document.write( "\n" ); document.write( "Here's the calculation:\r \n" ); document.write( "\n" ); document.write( "1. **Calculate the means:** \n" ); document.write( " * X̄ (Mean Area) = (873 + 407 + 325 + 848 + 226) / 5 = 535.8 \n" ); document.write( " * Ȳ (Mean Production) = (437 + 193 + 154 + 466 + 139) / 5 = 277.8\r \n" ); document.write( "\n" ); document.write( "2. **Calculate Σ(Xi - X̄)(Yi - Ȳ):**\r \n" ); document.write( "\n" ); document.write( "| District | Area (X) | Production (Y) | (X-X̄) | (Y-Ȳ) | (X-X̄)(Y-Ȳ) | \n" ); document.write( "|---------------|----------|----------------|-------|-------|-------------| \n" ); document.write( "| Uttar Kashi | 873 | 437 | 337.2 | 159.2 | 53669.44 | \n" ); document.write( "| Chamoli | 407 | 193 | -128.8| -84.8 | 10922.24 | \n" ); document.write( "| Rudra Prayag | 325 | 154 | -210.8| -123.8| 26095.04 | \n" ); document.write( "| Tehri Garhwal | 848 | 466 | 312.2 | 188.2 | 58712.04 | \n" ); document.write( "| Dehradun | 226 | 139 | -309.8| -138.8| 43004.24 | \n" ); document.write( "| **Total** | | | | | **192303.00**|\r \n" ); document.write( "\n" ); document.write( "3. **Calculate Σ(Xi - X̄)²:**\r \n" ); document.write( "\n" ); document.write( "| District | Area (X) | (X-X̄) | (X-X̄)² | \n" ); document.write( "|---------------|----------|-------|--------| \n" ); document.write( "| Uttar Kashi | 873 | 337.2 | 113703.84| \n" ); document.write( "| Chamoli | 407 | -128.8| 16589.44| \n" ); document.write( "| Rudra Prayag | 325 | -210.8| 44436.64| \n" ); document.write( "| Tehri Garhwal | 848 | 312.2 | 97468.84| \n" ); document.write( "| Dehradun | 226 | -309.8| 95976.04| \n" ); document.write( "| **Total** | | | **368174.80**|\r \n" ); document.write( "\n" ); document.write( "4. **Calculate b:** \n" ); document.write( " b = 192303 / 368174.80 ≈ 0.522\r \n" ); document.write( "\n" ); document.write( "5. **Calculate a:** \n" ); document.write( " a = Ȳ - bX̄ = 277.8 - (0.522 * 535.8) ≈ -2.25\r \n" ); document.write( "\n" ); document.write( "Therefore, the line of regression Y on X is: **Y = -2.25 + 0.522X**\r \n" ); document.write( "\n" ); document.write( "**Part B: Coefficient of Determination (r²)**\r \n" ); document.write( "\n" ); document.write( "r² = \[Σ(Ŷi - Ȳ)²] / \[Σ(Yi - Ȳ)²] where Ŷi are the predicted Y values from the regression line.\r \n" ); document.write( "\n" ); document.write( "1. **Calculate the predicted Y values (Ŷi) using the regression equation:**\r \n" ); document.write( "\n" ); document.write( "| District | Area (X) | Production (Y) | Ŷi = -2.25 + 0.522X | (Ŷi - Ȳ)² | (Yi - Ȳ)² | \n" ); document.write( "|---------------|----------|----------------|----------------------|----------|----------| \n" ); document.write( "| Uttar Kashi | 873 | 437 | 453.75 | 2744.76 | 25344.64| \n" ); document.write( "| Chamoli | 407 | 193 | 209.69 | 278.57 | 7196.84| \n" ); document.write( "| Rudra Prayag | 325 | 154 | 167.35 | 205.81 | 15376.84| \n" ); document.write( "| Tehri Garhwal | 848 | 466 | 440.79 | 1742.40 | 35436.64| \n" ); document.write( "| Dehradun | 226 | 139 | 115.61 | 397.02 | 19264.84| \n" ); document.write( "| **Total** | | | | **5369.36** | **102519.80**|\r \n" ); document.write( "\n" ); document.write( "2. **Calculate r²:** \n" ); document.write( " r² = 5369.36 / 102519.80 ≈ 0.052\r \n" ); document.write( "\n" ); document.write( "**Interpretation of b (byx):**\r \n" ); document.write( "\n" ); document.write( "The slope, b = 0.522, means that for every one-hectare increase in the area under rapeseed and mustard cultivation, the production is predicted to increase by 0.522 metric tonnes, on average.\r \n" ); document.write( "\n" ); document.write( "**Interpretation of r²:**\r \n" ); document.write( "\n" ); document.write( "The coefficient of determination, r² = 0.052, means that only 5.2% of the variation in rapeseed and mustard production can be explained by the variation in the area under cultivation. This indicates a very weak linear relationship between area and production. Other factors are likely playing a much larger role in determining production. \n" ); document.write( " \n" ); document.write( " |