Answered: what slope represents the linear…

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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Q5/ Use Linear Regression to fit the following data: 1 2 4 5 6. Y 4 9 10 10 8
For the spring semester 2009, part time students at a college paid $486 per credit (unit or hour) for tuition and paid a mandatory part time student fee of $20 per semester. Let T be the total one-semester cost (in dollars) of tuition plus part time students fee for c credits of classes. (complete all parts). a. Find the slope of the linear model that is described this situation. What does it mean in this situation? The slope is __. The tuition increases by $__ per credit. b. Find an equation of the model. c. Preform a unit analysis of the equation found in part b. d. What was the total one-semester cost of tuition plus part time student fee for 9 credits of classes
Lean body mass (weight leaving out fat ) helps predict metabolic rate (how many calories of energy are burned in a hour ) The relationship is roughly a straight line the least squares regression line for predicting metabolic rate (y in calories) from lean body mass (x in kilograms) is y =113.2+26.9x The slope of regression line is ?
Pls help with below homework-) Show transformation of switching equation into a regression equation.
How does utilizing linear regression benefit or help a business?
The regression equation to predict the total world gross ticket sales from the opening weekend ticket sales is: WorldGross^=9.23+6.87⋅OpeningWeekend Interpret the y-intercept of the regression line in context.
Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion). Use the horizontal axis for the customer age to graph. Find the linear regression line that models the data by each type of customer. Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y / Change in x
Residual analysis is important when studying the potential for linear regression because it allows for assumptions to be ignored for a time while graphs are created. True O False
Give an equation for a linear regression model for these data to predict the weight from the fuel capacity, Identify the vanables in your equation. • Justify how well your linear equation fits the model by discussing a scatter plot of the date and the correlation coetlicient in assessing the fit of your linear model. • Use your model to predict the total weight of a small motorcycle that has a tuel capacity of 6 gallons. and discuss the usefulness of this prediction.
Suppose you use regression topredict the height of a womanscurrent boyfriend by using her ownheight as the explanatory variable.Height was measured in feet from asample of 100 womenundergraduates, and their boyfriends,at Dalhousie University. Now, supposethat the height of both the womenand the men are converted tocentimeters. The impact of thisconversion on the slope is:

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what slope represents the linear regression