The following are data on the ages and incomes of a random sample of 5 executivesworking for XYZ corporation and their academic achievement while in college.y=Income( inthousand pesos)AcademicAchievementX,1.52.0AgeX,Y81.73873.33089.5461.7579.0401.7569.9322.50a. Fit an equation of the form y=b, + b,x +b,x, to the equation of the given data.|b. Use the equation obtained in (a) to estimate the average income of a 35-yearold executive with 1.25 academic achievement.

I solve this question using r programming. R-code :- y <- c(81.7,73.3,89.5,79.0,69.9)x1 <-…

Answered: The following are data on the ages and…

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 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
Suppose an oceanographer monitors the daily salinity of a particular ocean in relation to the temperature of the water. The oceanographer plots the data with temperature, in degrees Celsius (°C), along the horizontal axis and salinity, in parts per thousand (ppt), along the vertical axis. Select the true statement about the data point identified by the arrow. An ocean temperature of 21 °C causes the salinity to be 29 ppt. The predicted salinity is 29 ppt when the ocean temperature for the day is 21 °C. An ocean temperature of 29 °C corresponds to a salinity level of 21 ppt. The observed salinity is 29 ppt when the ocean temperature for the day is 21 °C. There is no relationship between the temperature of the ocean on a given day and salinity.
The line of best fit through a set of data is y = - 42.824 – 3.033x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 90? y = Round to 1 decimal place.
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
The line of best fit through a set of data is y = 41.762 2.926x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 50? y = Round to 1 decimal place.
The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the folloving data show the average number of passing yards per attempt (Yds/Att) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season (NFL vwebsite). Team Yds/Att WinPct Arizona Cardinals 6.9 44 Atlanta Falcons 8.0 69 Carolina Panthers 5.3 19 Chicago Bears 8.3 75 Dallas Covboys 5.4 26 New England Patriots 7.1 54 Philadelphia Eagles 8.4 79 Seattle Seahavwks 8.4 80 St. Louis Rams 6.1 33 Tampa Bay Buccaneers 7.8 70 a. Choose the correct a scatter diagram with the number of passing yards per attempt on the horizontal axis and the percentage of games won on the vertical axis. A. В. Win Pct WinPct! 80- 80 70 70 60 60 50 50 40 40 30- 30 20 20 10- 10- 80- 80 70 70 60 60 50- 50 40 40 30 30 20 20 10- 10- 6. 8. 9. 8. Yds/Att Yds/Att b. What does the scatter diagram…
Suppose that you are a researcher and wish to construct a linear mathematical (statistical) model that relates the number of years and the corresponding exports (million U.S.$) of a country. The constructed model may use to forecasts the future values. You have obtained the relevant data for the during of 1990 to 1995 and you have listed the data in Table 5. Table 5. Shows the list of the amount that have earned on exports Year No. 1 2 3 4 5 6 Exports 4954 6131 6904 6813 6803 8137 (a) Construct a suitable graph that explains the relationship between the number of years and the corresponding exports. (b) Construct a mathematical (Statistical) model by using least square method between number of years and the corresponding sales. (c) Interpret the slope of the estimated linear model (d) Forecast the value of exports by using the estimated linear model for the year of 2000
I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
The mall has a set of data with employee age (X) and the corresponding number of annual on-the-job-accidents(Y). Analysis on the set finds that the regression equation is Y=100-3X. What is the likely number of accidents for someone aged 30? 97 100 10 none of the above
A linear model was fit to predict weekly Sales of frozen pizza (in pounds) from the average Price ($/unit) charged by a sample of stores in a city in 39 weeks over a three -year period. The average Sales were 63, 200 pounds (SD = 10, 670 pounds), and the correlation between Price and Sales was -0.529. If the Price in a particular week was two SD higher than the mean Price, how much pizza would you predict was sold that week?
Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…
Which of the following is the equation of the relationship between the predictor variable (x) and the response variable (y)? A y = 25.707 + 0.9887xB y = 29.796 + 0.5897xC y = 25.707 + 0.5897xD y = 29.796 + 0.9887x

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