The relationship between the cost of a concert ticket and a ranking of the performer's popularity was summarized by a regression equation with slope of 135 and y-intercept of -373. What is the equation of the regression line? + D popularity cost=

The relationship between the cost of a concert ticket and a ranking of the performer's popularity was summarized by a regression equation with slope of 135 and y-intercept of -373. What is the equation of the regression line? + D popularity cost=

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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A researcher is analyzing the relationship between various variables in housing data for 32 cities: median list prices of single family homes, condominium or co-ops, all homes, median household income, unemployment rate, and population. What is the regression equation for the model that predicts the list price of all homes using population as an explanatory variable?What is the interpretation of the slope? What is the interpretation of the intercept?
Scenario: A medical researcher wishes to see whether there is a relationship between a person's age, cholesterol level, and systolic blood pressure. Eight people are randomly selected. The data is listed in the table. First, find the multiple regression equation. Next, determine the coefficient of determination. Then, use the regression equation to predict a person's blood pressure reading if the person selected is 50 years old with a cholesterol reading of 220. Age Cholesterol level Blood pressure Person 1 38 220 116 Person 2 41 225 120 Person 3 45 200 123 Person 4 48 190 131 Person 5 51 250 142 Person 6 53 215 145 Person 7 57 200 148 Person 8 61 170 150 Discussion Prompts Respond to the following prompts in your initial post: 1. Identify the explanatory variables and response variable for the data. 2. What is the multiple regression equation for the data? 3. What is the coefficient of determination? 4. If a person 50 years old with a cholesterol of 220 is selected, what is that…
At the end of the semester the lecturer runs a regression using the student's final grade as the dependent variable and a male dummy (equals one if the student is male and equals zero otherwise) as the sole explanatory variable. If the estimated intercept is 67 and the estimated coefficient on the male dummy is -4 then what is the estimated mean mark for males in this course?
The figure plots the number of manatee deaths by boat versus the number of boats registered to Florida and thousands. There is a clear straight line pattern with a modest amount of scatter. The correlation between these variables is R equals 0.94. What percentage of the observed variation among the manatee deaths by boats is explained by the straight line relationship between manatee deaths and number of boats registered?
The following table gives the data for the grades on the midterm exam and the grades on the final exam. Determine the equation of the regression line, yˆ=b0+b1xy^=b0+b1x. Round the slope and y-intercept to the nearest thousandth. Grades on Midterm and Final Exams Grades on Midterm 78 63 85 92 82 89 69 89 83 61 Grades on Final 77 75 88 92 86 86 80 85 77 63
The regression equation to predict the total world gross ticket sales from the opening weekend ticket sales is: WorldGross^=9.23+6.87⋅OpeningWeekend (iv) Interpret the slope of the regression line in context.
write the regression equation that will predict the number of manatees killed given thenumber of powerboat registrations (in 1000's). Show all work usingformulas for slope, b1, and y-intercept, b0, calculations roundingto 4-decimal places, if necessary. Show all the calculations and math of slope, b1, and y-intercept, b0, calculations roundingto 4-decimal places, if necessary. SHOW ALL WORK! DO NOT USE EXCEL! I need to be able to see every single part and how you got it. attached is the question
Which equation is the best fit for the data in the table? X Y 3 12 5 27 8 48 11 O y=-.0026x^2+.33x+1.16 O y=1.94x+2.140 O y=1.732vx-1 O y=1.732x-1
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the space, the following variables are used in a multiple regression model. y sales price (in thousands of dollars) x₁ = total floor area (in square feet) X₂= number of bedrooms x3² distance to nearest high school (in miles) The estimated model is as follows. y=121 +0.083x₁ +23x₂ - 4x3 Answer the questions below for the interpretation of the coefficient of x₁ in this model. (a) Holding the other variables fixed, what is the average change in sales price for each 100-square-foot increase in floor area? dollars (b) Is this change an increase or a decrease? increase decrease X Ś
An economist wants to predict the GDP per person measured in 2011 US dollars in Afghanistan based on Austria's GDP per person. She used data from 2000 to 2018. The regression equation was yhat= -5123.932 +0.152x Interpret the slope. For each additional dollar growth in GDP per person in Austria's, Afghanistan GDP per capita decrease on average by 0.152. O For each additional dollar growth in GDP per person in Austria, Afghanistan's GDP per capita increased on average by 0.152 O For each additional dollar growth in GDP per person in Afghanistan, Austria's GDP per capita increased on average by 0.152. For each additional dollar growth in GDP per person in Afghanistan, Austria's GDP per capita decreased on average by 0.152
The table shows the amounts of crude oil (in thousands of barrels per day) produced by a certain country and the amounts of crude oil (in thousands of barrels per day) imported by the same country for seven years. The equation of the regression line is y=−1.326x+16,981.04. Complete parts (a) and (b) below. Produced,_x 5,789 5,679, 5,626, 5,407, 5,234, 5,138, 5,094 Imported,_y 9,309 9,130, 9,681, 10,090, 10,151, 10,152, 10,017 (a) Find the coefficient of determination and interpret the result. r2= (Round to three decimal places as needed.) (b) Find the standard error of estimate se and interpret the result. Se= (Round to three decimal places as needed.)
The following regression equation is based on the analysis of four variables: SM_DOLLARS is the dollar amount of a watershed conservation agency's weekly spending on social media ads. RADIO_ADS is the number of radio advertisements aired weekly by the agency. WS_DOLLARS is the dollar amount of the agency’s weekly spending on web search ads. The variable WEB_VISITS is the number of weekly visitors to their educational website. These data have been recorded every week for the past three years. WEB_VISITS (expected) = 109 + 0.2*SM_DOLLARS + 1.5*RADIO_ADS + 1.1*WS_DOLLARS The data meet the assumptions for regression analysis, and the regression results, including the coefficients, were found to be statistically significant. How many additional weekly web visits would you predict when the agency increases its weekly spending on social media ads by $150 without changing the amount spent on radio ads or web search ads? (Round your answer to the nearest whole number.)