a) Bisection Method Using Excel spreadsheet, determine the real root of the given equation f(x) = -2° -1.5 x + 10x +2 using bisection to locate the root. Employ initial guesses of x = 0 and xu - 1 and iterate until the estimated error Ea falls below a level of E, 10%.

The scatter plot shows the time spent watching TV, x, and the time spent doing homework, y, by each of 23 students last week. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the time spent doing homework for a student who spends 15 hours watching TV. Note that you can use the graphing tools to help you approximate the line. Time spent doing homework Kin hours) 32- 28- Y 244 20- 124 F 44 B * K 12 x 14 20 24 26 Time spent watching TV (in hours) 32 X (a) Write an approximate equation of the line of best fit. = 0 (b) Using your equation from part (a), predict the time spent doing homework for a student who spends 15 hours watching TV. hours

How do I isolate Y in this equation

House price y is estimated as a function of the square footage of a house x and a dummy variable d that equals 1 if the house has ocean views. The estimated house price, measured in $1,000s, is given by yˆy^ = 119.60 + 0.14x + 54.80d.   a-1. Compute the predicted price (in $1,000s) of a house with ocean views and square footage of 1,600. (Do not round intermediate calculations. Round your final answer to 2 decimal places.) predicted price=    a-2. Compute the predicted price (in $1,000s) of a house with ocean views and square footage of 3,200. (Do not round intermediate calculations. Round your final answer to 2 decimal places.) predicted price=