Suppose you ran a regression of AGE predicting INCOME (thousands of dollars). If your estimated line was INCOME = -1.5 + 1.2*AGE + ε, how much more income do you expect to make for every two years you age? (Express your answer in thousands of dollars.)

The value of all goods and services produced in a nation during a specific period of time, as compared to an earlier period, is called the economic growth rate. It measures the change in a nation's gross domestic product (GDP). The United States had an economic growth rate of approximately 2.9%and GDP of approximately $20.58 trillion in 2018. If the economic growth rate is expected to stay the same for the next 3 years, what is the projected GDP for the year 2021? a $21.96 trillion b $23.15 trillion c $22.42 trillion d $22.31 trillion

this math problem has me working on it for hours and still can’t get it…so may i please have help?

Use the data in the accompanying table to find the logarithmic regression equation to the nearest tenth

please answer these two correctly;

The population of Alabama is about 4.3 million. They have a rate of decline of 3% a year. What will be Alabama's population in 20 year a O b Oc Od 2.41 million 2.45 million 2.33 million 2.34 million

Table 3 gives the market value of a luxury sedan (in dollars) xyears after its purchase. Find an exponential regression model of the form y= ab* for this data set. Estimate the purchase price of the sedan. Estimate the value of the sedan 10 years after its purchase. Round answers to the nearest dollar. TABLE 3 Value ($) 1 23,125 19,050 3 15,625 11,875 5 9,450 6 7,125 2.

Smith is studying the relationship between length (X) and weight (Y) of infants. Please help him fit an exponential growth model to find the relationship between length and weight. Write down the model and explain how to fit the model (i.e., how to estimate regression coefficients) and what the intercept is for the relationship between X and Y (in symbolic form).

2. a. Write an exponential equation of the form y = a(b)* that passes through the points (1, 6.4) and (4, 3.2768). Explain how you got your answer OR show your work. b. Identify the percent change that is modeled by your equation in part a. In other words, identify whether your equation represents a percent increase or decrease AND how much is that percent increase or decrease.

Suppose the following estimated regression equation was determined to predict salary based on years of experience. Estimated Salary = 29,136.63 +2257.51(Years of Experience) What is the estimated salary for an employee with 24 years of experience? Answer Keypad Keyboard Shortcuts Tables