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Act like a helpful tutor and exlain me :1 2 |ABC Company reports their earnings and expenses data from the years 2004 to 2018 as shown in the table. 3 Use Linear Forecasting and regression to calculate the expense value in the year 2021. 4 5 Years | Earnings | Expenses | 6 2004 $12,340.00 $13,005.00 7 2006 $11,010.00 $9,257.50 8 2008 $14,680.00 $11,010.00 9 2010 $18,350.00 $14,762.50 10 2012 $22,020.00 $16,515.00 11 2014 $25,690.00 $19,267.50 12 2016 $29,360.00 $22,020.00 13 2018 $33,080.00 $29,810.00 14 2021 $25,000.00 222222 15 16 Required: w 18 19 [Calculate the R-Squared between the known Earnings and Expenses i 20 21 Calculate the slope of the linear regression line between known Earnings and Expenses T 2 23 [Calculate the intercept of the linear regression line between known Earnings and Expenses | 24 25 The full regression equation is: 2% Expenses= | | (Gaming) [| + 27 28 Forecasted Expense in 2021 | 29

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Act like a helpful tutor and exlain me :Uploaded Image1 2 |ABC Company reports their earnings and expenses data from the years 2004 to 2018 as shown in the table. 3 Use Linear Forecasting and regression to calculate the expense value in the year 2021. 4 5 Years | Earnings | Expenses | 6 2004 $12,340.00 $13,005.00 7 2006 $11,010.00 $9,257.50 8 2008 $14,680.00 $11,010.00 9 2010 $18,350.00 $14,762.50 10 2012 $22,020.00 $16,515.00 11 2014 $25,690.00 $19,267.50 12 2016 $29,360.00 $22,020.00 13 2018 $33,080.00 $29,810.00 14 2021 $25,000.00 222222 15 16 Required: w 18 19 [Calculate the R-Squared between the known Earnings and Expenses i 20 21 Calculate the slope of the linear regression line between known Earnings and Expenses T 2 23 [Calculate the intercept of the linear regression line between known Earnings and Expenses | 24 25 The full regression equation is: 2% Expenses= | | (Gaming) [| + 27 28 Forecasted Expense in 2021 | 29

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Asked by: Umesh
Created at: 2025-07-28 22:44:11

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Absolutely! Let's go step by step to understand each requirement and how you can solve it in Excel or manually. ### 1. **Calculate the correlation between Earnings and Expenses** The **correlation** measures the strength and direction of a linear relationship between two variables. **Excel Formula:** `=CORREL(range_of_Earnings, range_of_Expenses)` For your data, that would be: `=CORREL(B6:B13, C6:C13)` --- ### 2. **Calculate the R-Squared between Earnings and Expenses** **R-Squared** indicates how well data fit a regression line (the proportion of variance explained). **Excel Formula:** First, find the correlation, then square it: `=CORREL(B6:B13, C6:C13)^2` --- ### 3. **Calculate the slope of the linear regression line** The **slope (m)** shows how much Expenses change per unit change in Earnings. **Excel Formula:** `=SLOPE(C6:C13, B6:B13)` --- ### 4. **Calculate the intercept of the linear regression line** The **intercept (b)** is the value of Expenses when Earnings are zero. **Excel Formula:** `=INTERCEPT(C6:C13, B6:B13)` --- ### 5. **The Full Regression Equation** The regression line equation is: **Expenses = m \* Earnings + b** Where: - \( m \) = Slope (from step 3) - \( b \) = Intercept (from step 4) --- ### 6. **Forecasted Expense in 2021** Plug the 2021 Earnings ($25,000) into your regression equation: `= (Slope) * 25000 + (Intercept)` --- ## **Summary Table** | Step | Excel Formula | Meaning | |------|--------------------------------------------------------|---------------------| | 1 | `=CORREL(B6:B13, C6:C13)` | Correlation (r) | | 2 | `=CORREL(B6:B13, C6:C13)^2` | R-Squared | | 3 | `=SLOPE(C6:C13, B6:B13)` | Slope (m) | | 4 | `=INTERCEPT(C6:C13, B6:B13)` | Intercept (b) | | 6 | `= (Slope) * 25000 + (Intercept)` | Forecasted Expense | --- ### **If you want to do it manually:** 1. **Calculate the mean of Earnings and Expenses.** 2. **Calculate the covariance of Earnings and Expenses.** 3. **Calculate the variance of Earnings.** 4. **Slope (m) = Covariance(Earnings, Expenses) / Variance(Earnings)** 5. **Intercept (b) = Mean(Expenses) - m * Mean(Earnings)** 6. **Plug in Earnings for 2021 to get predicted Expenses.** --- **Let me know if you want to see the step-by-step calculation with actual numbers using your data!**

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