An online shopping website collected data regarding its operations and obtained thefollowing linear regression model for the estimated revenue in millions, Ŷ, based onthe click-through rate in thousands, x.Ŷ = 1.2 +0.2xWhat is the best interpretation of the value of the estimated slope of 0.2? Selectone.The estimated change in revenue for each additional thousand clicks is $0.2million.When there are no clicks on the website, the estimated revenue is $0.2 million.Every click on the website causes $0.2 million more revenue.The estimated change in the click-through rate is 0.2 thousand for each for eachonemillion in revenue. The scores received in four exams in a math class are collected for 50 students. Thefollowing Python code is used to fit a simple linear regression model using data fromthe ExamScores.csv file. Which of the two variables, "Exam4" or "Exam2", is theresponse variable? Which is the predictor variable? Select one.import pandas as pdimport statsmodels.formula.api as smfscores = pd.read_csv('http://data-analytics.zybooks.com/ExamScores.csv')model=smf.ols('Exam4 ~ Exam2', scores).fit()Exam4 is the response variable and Exam2 is the predictor variable.Exam2 and Exam4 are both response variables.Exam2 and Exam4 are both predictor variables.Exam2 is the response variable and Exam4 is the predictor variable.

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Answered: An online shopping website collected…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 4SGR

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Similar questions

If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use it to find a second model for the data. Graph this new equation along with your first model. How do they compare?
To monitor and improve its productivity, a company made an investigation and found out that the factor that affects the productivity the most is the absenteeism. The company data analytics department have collected data about the two variables (Productivity and Absenteeism) for the 12 past years as shown in the table below. Now the purpose of the company is to determine, through regression analysis, whether the productivity is statistically affected by the absenteeism level or not. Year Absenteeism Productivity (in number of absent worker) (in Million AED) 1 204 342 2 352 336 3 154 406 4 206 410 5 422 278 6 530 214 7 750 138 8 482 268 9 374 262 10 120 356 11 188 396 12 634 152 Questions: Construct a scatter diagram for the data about productivity and absenteeism then interpret the possible relationship that can be found. Construct a simple regression model to predict the…
Look at the picture of the data set attached below or click this link to view the data set: https://docs.google.com/spreadsheets/d/1e0EJHxWj19KitPwekp2ncj7zhNOGjNRr5qJPfzZaosA/edit?usp=sharing Then look at the regression analysis and explain what the results mean.
A music critic was interested in whether particular variables measured on a song change over time. Two variables the critic considered were a song’s Tempo (in bpm) and a song’s Danceability. We will use the songs written before the year 2000 from the original SpotifySample data set. The data set that you will use to complete this investigation is called SpotifyB2000 and consists of 483 songs. Write the least-squares regression line equation describing Year and Danceability usingproper notation and values. Interpret the slope of the regression line for Year and Danceability in context. Would the interpretation of the y-intercept for Year and Danceability be meaningful? Ifso, interpret it. If not, state why not in one sentence. Calculate and record the coefficient of determination value r2for Year and Danceabilityand interpret this value in context. State the hypotheses for the test of the slope. Write the p-value found in the output from (n), and use the p-value provided in the…
Could you please graph this table with scatter plot and add regression line. Also could you please share this graph to me with google drive link.
Identify the type of data that would be used when the variable of interest is most-watched TV show.
Write down the different Multiple Regression Equations?
The quadratic model for the given data is wrong.
The height and grade point average of 50 randomly selected students are recorded. The following Python code is used to fit a simple linear regression model using data collected from the sample that is stored in the gpa.csv file. Which of the two variables, “gpa” or “height”, is the response variable? Which is the predictor variable? Select one. import pandas as pdimport statsmodels.formula.api as smfscores = pd.read_csv('http://data-analytics.zybooks.com/gpa.csv')model = smf.ols(gpa ~ height', scores).fit() Question 4 options: gpa and height are both response variables. height is the response variable and gpa is the predictor variable. gpa is the response variable and height is the predictor variable. gpa and height are both predictor variables.
make a simple and multiple linear regression analysis based on the given data
Please *Find the equation of the least-squares regression line that models the data. *Graph the data and the regression line in the same viewing window using the parameters given below the graph choices. Choose the correct graph below. *Estimate the tuition and fees in 2005.
The regression line always gives an exact model for data. true or false

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