### Relationship Between FICO Score and Auto Loan Interest RateAn economist aims to determine the relationship between one's FICO score (x) and the interest rate of a 36-month auto loan (y). The given data represent the interest rate (in percent) a bank would offer on a 36-month auto loan for various FICO scores.| Credit Score (x) | Interest Rate (percent, y) || ---------------- | -------------------------- || 545 | 18.982 || 595 | 17.967 || 640 | 12.218 || 675 | 8.612 || 705 | 6.68 || 750 | 5.15 |### Tasks:1. **Find the least-squares regression line** - Treat the FICO score as the explanatory variable and the interest rate as the response variable.2. **Predict the interest rate** - Estimate the interest rate a person would pay if their FICO score were the median score of 723.

Answered: Image /qna-images/answer/2e6ccc9f-5ae9-49a7-b708-8f844ab0d3d2.jpg

Answered: An economist want to determine the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following table shows the Consumer Price Index (CPI), which uses the year 1983 as a baseline (1983 100%). What is the equivalent 1983 yearly salary to a worker who earned $40,000 in the year 2010? Round to the nearest cent. Year 2010 CPI 220.22 2009 216.69 2008 211.14 2007 211.08 2006 202.42 2005 198.3 2004 190.7
2. Which of the following statements is false? Explain your answer. A. A price index can be used to compare changes in prices over time. B. A graph of the average monthly price of gas is an example of an index. C. Price index values are often calculated relative to a base value at a certain point in time or in a certain place. D. Index values can be greater than 100.
From the following data compute the consumer price Index for the year 1998 w.r.t. the price level of 1997. Food Items Food Rent Clothing Fuel Weight Percentage of increase in prices over the price of 1997 Misc. 7.5 2 2.5 Rice Whe Pul 3 1 50 60 40 20 30
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The following table shows the number of hours of safety training at a large industrial plant for each of 6 divisions within the plant and the number of work hours lost due to accidents. X: Hours of safety training 10 19 30 50 65 80 Y: Work hours lost 80 65 68 35 10 12 a. Determine the Pearson's Coefficient of Correlation for the given data. Answer rounded to two decimal places b. Which of the following is an apporpriate comment for the correlation between X and Y? There is a strong positive correlation between X and Y There is a moderate positive correlation between X and Y There is a weak positive correlation between X and Y There is a strong negative correlation between X and Y There is a moderate negative correlation between X and Y
B - Does there appear to be a relationship between income and sadness, hopelessness, and worthlessness? justify your answer in your own word. points Figure 2. Feelings of Worthlessness. Hopelessness, and Sadness All or Most of the Time, by Income. 2011 Percentage of adults 4.6% 3.8% Less than $35.000 3.2% Sadness 2,3% 1.9% $35.000-49.999 Hopelessness 2.3% 1.5% 1.1% $50,000-74,999 Annual family income Worthlessness 1.3% 0.6% 0.6% $75,000-99,999 1.2% 0.5% 0.6% $100,000 or more
With aging, body fat increases and muscle mass declines. The line graphs show the percent body fat in adult females and males as they age from 25 to 75 years. Use this information to complete parts (a) through (c) below. a. Find an estimate for the percent body fat in 45-year-old females. % (Type a whole number.) Percent Body Fat 40 36- 32- 28- 24 20+ 15 Percent Body Fat in Adults 25 35 45 Age Females Males 55 65 75
The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). C (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. O B. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. O C. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O D. The variable "weekly time spent watching television" is likely normally distributed. O E. The variable "weekly time spent watching television" is likely uniform, not normally distributed. (b) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for…
The data in the accompanying table represent the rate of return of a certain company stock for 11 months, compared with the rate of return of a certain index of 500 stocks. Both are in percent. Complete parts (a) through (d) below. Rate of Return Month Rates of return of theindex, x Rates of return of the company stock, y Apr-18 4.234.23 3.283.28 May-18 3.353.35 5.095.09 Jun-18 negative 1.78−1.78 0.540.54 Jul-18 negative 3.20−3.20 2.882.88 Aug-18 1.291.29 2.692.69 Sept-18 3.583.58 7.417.41 Oct-18 1.481.48 negative 4.83−4.83 Nov-18 negative 4.40−4.40 negative 2.38−2.38 Dec-18 negative 0.86−0.86 2.372.37 Jan-19 negative 6.12−6.12…
If ze = 1.81, the value of c, to the nearest percent, is . (Use the graphing calculator. Answer must be a whole number.)
1. Find the geometric mean rate of return. 1yr: 10 percent 2yr: 20 percent 3yr: 30 percent 4yr: -40 percent

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