Please review Section 12.2. An agent for a residential real estate company in a suburb located outside a major city has the business objectiveof developing more accurate estimates of the monthly rental cost for apartments. Toward the goal, the agent would like to use the size of anapartment, as defined by square footage to predict the monthly rental cost. The agent selects a sample of 8 one-bedroom apartments andthe data are shown.Size (Square Feet) Monthly Rent ($)8751500850120090082511501500200019007509251250180011001350Construct a scatterplot. Size is the x value and Monthly Rent is the y value. You can hand-draw, or use technology...label appropriately.Use the least-squares method to determine the regression coefficients. If you use technology, include the documents or screen shots:bo(Round to one decimal place as needed.)(Round to one decimal place as needed.)bi =

Answered: Please review Section 12.2. An agent…

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 accompanying table lists 18 of the largest companies in the world ranked by their market capitalization (in billions of dollars). A company's market capitalization is defined as the number of its shares multiples by the price per share. Complete parts a throuah d below. a. Determine the coefficient of variation. Data Table coefficient of variation = (Round to two decimal places as needed.) b. Calculate the z-score for a company with a market capitalization of $250 billion. Company Market Cap ($ billions) Z-score = (Round to two decimal places as needed.) Wells Fargo 274.4 Nestle 229.5 c. Test to determine if the empirical rule holds true by determining the percentage of observations that fall within tone standard deviation from the mean. ExxonMobil 343.2 What is the percentage of observations that fall within tone standard deviation from the mean? ATandT 249.3 JPMorgan Chase Alphabet 306.6 % of the observations fall within t one standard deviation from the mean. 579.5 (Round to the…
2. A researcher measures the relationship between education (in years) and investment gains (in thousands of dollars). Answer the following questions based on the results provided. SP = 16.25. a. Create a scatter plot of the data b. Calculater and r2 c. Report results in APA style. d. What do results mean? Education Investment Gains 14 8 12 11 6. 10 18 14
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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. OB. 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" 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 "time…
Solve
The following table shows the square footage of houses in an area that sold recently along with the selling price. Sq. Ft. Price 2096, 295000, 3160, 338000, 2320, 265000, 3150, 365000, 2760, 330000, 3650, 412000, 2125, 320000, 3085, 342000, 4750, 485000, 2100, 320000, 3100, 316000, 2240, 321000, 3300, 347000, 2800, 350000, 2825, 330000, 3275, 420000 1. Find the equation of the regression line (line of best fit). 2. Determine if there is a strong linear correlation. 3. If there is a strong linear correlation predict the selling price of a 3333 sq. ft. home
Solve. 4) Construct a box plot from the data below. 20 25 26 26 26 272933 41 43 45 46 47 4850 50 50 51 53 55 57 60 61 62 63
Which country of origin appears to have the highest “typical” miles per gallon? [ Select ] ["USA", "Sweden", "France", "Japan", "Italy", "Germany"] Which country of origin has the most variation in miles per gallon? [ Select ] ["Sweden", "USA", "France", "Italy", "Japan", "Germany"]
What unit of analysis is reflected: "There is a relationship between unemployment rates and crime rates in a city such that cities with lower unemployment rates experience less crime."
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…
A comparative Psychologist tests the amount of time it takes for mice to complete a maze as their dependent variable. What type of data would this be? a. ratio b. interval c. ordinal d. nominal
Please do question 2-4. Thanks

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