Dear tutors,

I really need ur help ASAP. I am trying to finish my hw, but facing a hard time. I am really sorry to ask this. But I only have 1+ and / 30) + h+r/s/. Please share your work in the time. Appreciate,

9. A data set contains observations about income (in a range of $15k to $75k) and happiness (rated on a scale of 1 to 10) in an imaginary sample of 500 people. The income values are divided by 10,000 to make the income data match the scale of the happiness scores (so a value of $2 represents $20,000, $3 is $30,000, etc.) A linear regression model is built between income and happiness. The regression line is plotted in Figure 1.Page 6 of 12 December 17, 2021 Reported happiness as a function of income 4- Happiness score (0 to 10) Income (x$10,000) Figure 1: Linear regression model of "income" and "happiness." Table 1: The advertising budget and sales (in $ unit) Summary statistics Mean Standard deviation r: income (x$10, 000) 4.4669 1.7375 y: happiness (scale of 1 to 10) 3.3928 1.4328 Correlation R = 0.8656 (a) Please use the summary statistics for income and happiness in Table 1 to identify the least square line, which can be expressed as: happiness = Bo + B1 x income. Please derive the linear model (i.e., estimate Bo and B1)