Kyle and Linda are married with two children at home and a mortgage. Kyle’s net pay per year is $32,000 and Linda’s is $48,000. Their monthly expenses are $3,500. Kyle and Linda each contribute 15% of their earnings to a retirement fund and they have $5,000 in savings. They also have a $100,000 life insurance policy on Kyle, but none on Linda.

As their financial advisor, what part of Kyle and Linda’s financial plan would you encourage them to work on and why?
a.
Their plan for managing income.
Their net cash flow is negative.
b.
Their plan for managing their liquidity.
They are not prepared for emergencies.
c.
Their plan for retirement.
They don’t contribute enough to meet their long term goals.
d.
Their plan for protecting their assets.
They should have life insurance on Linda.

Which is the equation of a line perpendicular to the line with the equation 3x+4y=8

What expression is equivalent to log3(x+4)

1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?