Please use trend regression to forecast week 13 Passenger kilometres (pax-km) flown on Golden Airlines, a commuter firm serving theJohannesburg – Cape Town route, are as follows for the past 12 weeks:Passenger kilometresWeek(1 000)1.17221192318616208.1822102011151222

Given information, Week Passenger kilomers 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8…

Answered: Please use trend regression to foreca

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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Your teacher surveyed the class to determine the number of hours that each student spent on social media. Your teacher created a table and scatterplot graph that displayed the number of hours, x, and the average final grade percentage, y, based on the hours. Using the equation of the trend line of the data, y=–7.2x+98.9, predict the average final grade percentage, to the nearest whole number, if a student spent 10 hours on social media.(1 point) Responses The average final grade is 27% if a student spent 10 hours on social media. The average final grade is 27% if a student spent 10 hours on social media. The average final grade is 99% if a student spent 10 hours on social media. The average final grade is 99% if a student spent 10 hours on social media. The average final grade is 7.2 if a student spent 10 hours on social media. The average final grade is 7.2 if a student spent 10 hours on social media. The average final grade is 92% if a student spent 10 hours…
Assume that the data can be modeled by a straight line and that the trend continues indefinitely. Use two data points to find such a line and then answer the question. Suppose a baseball is thrown at 82 miles per hour. The ball will travel 296 feet when hit by a bat swung at 52 miles per hour and will travel 392 feet when hit by a bat swung at 84 miles per hour. Let y be the number of feet traveled by the ball when hit by a bat swung at x miles per hour. How much farther will a ball travel for each mile-per-hour increase in the speed of the bat? A ball will travel feet farther for each mile-per-hour increase in the speed of the bat. (Type a whole number.)
Refer to the data set:Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 5.
The number of megapixels in a digital camera is one of the most important factors in determining picture quality. But, do digital cameras with more megapixels cost more? The following data show the number of megapixels and the price ($) for 10 digital cameras(Consumer Reports, March 2009). Use these data to develop an estimated regression equation that can be used to predict the price of a digital camera given the number of megapixels. Brand and Model Megapixels Price (S) Canon PowerShot SD1100 IS Casio Exilim Card EX-510 8 180 200 230 10 Sony Cyber-shot DSC-T70 Pentax Optio M50 Canon PowerShot G10 120 470 15 8 Canon PowerShot A590 IS Canon PowerShot El 140 180 10 12 Fujifilm FinePix FOOFD Sony Cyber-shot DSC-W170 Canon PowerShot A470 310 10 250 110
Explore non-linear regression. Determine a possible data set that would most likely nothave a linear relationship, but would have a non-linear relationship. Discuss the type ofdata (find and present an actual example) and the relationship that the data would have.Also discuss why you think it would have this type of relationship.
1. Develop a simple linear regression equation for starting salaries using an independent variable that has the closest relationship with the salaries. Explain how you chose this variable.
Suppose you ran a quadratic trend forecasting model on some time series data for 18 months. The Excel Data Analysis regression output provided the following: Intercept: 45.140 Slope 1: -1.940 Slope 2: 0.195 What is the forecast value for time period 21? 4.4 90.395 43.395 8.495
Based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and number of views? A popular television show recently released a video preview for the upcoming season on its website. As fans of the show discover the video, the number of views of the preview video has grown each day during the last 2 weeks. The number of days since the release of the video and the natural log of the number of video views is shown in the scatterplot. O An exponential model is appropriate because the residual plot does not show a clear pattern. O A linear model is appropriate because the scatterplot shows a strong, positive linear relationship. In(Views) vs. Days O A power model is appropriate because the scatterplot of days and natural log of views is strong and linear. 10 9.5 An exponential model is appropriate because the relationship between days and the natural log of views is linear, and the residual plot does not show a clear…
Use Excel Spreadsheets, Google Sheets, or GeoGebra to create a scatter plot for the data below. (You will upload your graph in the next question.) Use the graph to answer the questions below the table. The following data are the morning and evening high tide levels for Charleston, SC from January 1-14,2017. The information for the PM high tide for January 4 is missing. Create a scatter plot. Find the regression line and use it to estimate the PM high tide for January 4. Then find the correlation coefficient. (NOTE: The first column identifies the day. This data will not be used in the scatter plot.) Day AM High (in feet), xx PM High (in feet), yy 1 5.6 4.8 2 5.5 4.8 3 5.4 4.9 4 5.2 5 5.0 5.1 6 5.2 5.0 7 5.4 4.9 8 5.7 5.0 9 6.0 5.1 10 6.3 5.3 11 6.4 5.4 12 6.5 5.4 13 6.4 5.4 14 6.2 5.3 Source: SCDHEC.gov
Please answer parts d, e and f.
What are the interpretations of the Y intercept and the slopes in a multiple regression model?
D. Graph the following regression lines. a. y = 0.3x + 2.5 b. y = -3.2x +6.7

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