Describe the meaning of the following geometric diagram for a 2-variable statistical model:DM1.232.1M.E3330.63299.7The two explanatory variables are non-orthogonal and the model with both variables is much better than themodel with just one.The two explanatory variables are orthogonalThe two explanatory variables are non-orthogonal and the model with both variables is about the same asthe model with just one.The two explanatory variables are non-orthogonal and the model with just one variable is nearly as good asthe model with both..

An orthogonal relationship between two variables means that the variables are independent and have…

Answered: Describe the meaning of the following…

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 table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.5 7 3.3 2.5 2.8 2.2 0.6 14.2 11.6 10.3 7.1 6.4 6.7 6.2 4.8 thousands of automatic weapons = murders per 100,000 residents This data can be modeled by the linear equation ŷ = 0.84x + 4.33 a. How many murders per 100,000 residents can be expected in a state with 9.1 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 4.3 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents
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Christine is a sales manager for a car rental company. She has a scatterplot with data regarding the years of experience of sales representatives and percent of satisfied customers. What information would the scatterplot below indicate? Select all that apply. 100 90 80 70 50 40 30 20 10 1 3 5 6 7 Years of Experience of Salesperson O Satisfaction rate is the independent variable. O Satisfaction rate is the dependent variable. O Years of experience is the independent variable. O Years of experience is the dependent variable. O Christine should consider customer satisfaction training for her more novice representatives. O There is a positive correlation between years of experience and customer satisfaction. O There is a negative correlation between years of experience and customer satisfaction. O There is no correlation between years of experience and customer satisfaction. Percent of Satisfied Customers
The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1) is the number of hours spent studying, and the second independent variable (x2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 0 2 17 1 2 20 3 2 25 5 4 26 5 4 26 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. AnswerHow to enter your answer (opens in new window) Copy Data Keypad Keyboard Shortcuts
Consider the following data set x: 1 2 3 4 5 y: 4 4.4 5.2 6.4 8 Fit it to a linear model and a quadratic model. Which model is better, and how do you know?
Q3, just parts d, e, f. (posted a, b, c as a different question)
1. Learn by Doing (page 68): In this activity we have data from 21 female college students. Forearm length in inches is the explanatory variable. Height in inches is the response variable. The line is a good summary of the linear pattern in the data. a. Based on the graph of this line, which is the best prediction of the height of a woman with a forearm of 11 inches? i. 64.5 inches ii. 68 inches iii. 68.75 inches iv. just under 72 inches 74 72 70 68 66 64 62- 60 b. The equation of this line is: Predicted height = 39 + 2.7 * forearm length. Use the equation of the line to predict the height of a woman with a 10-inch forearm. 58- 56 %3D 10.5 forearm (inches) 8.0 8.5 9.0 9.5 10.0 11.0 11.5 12.0 12 height (inches)
need help in d and e

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