For a sample of n = 5 subjects, two variables (x and y) were measured:The least squares line is y = 38.915 +1.882xIt would require extropolation to use the least squares line to predict the value of y when x =OA. 56OB. 36OC. 34OD. 66OE. None of the aboveSubject x Y130 10023440 11048 12051 1405 57 150

The objective of the question is to identify which value of x would require extrapolation to predict…

Answered: For a sample of n = 5 subjects, two…

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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College Graduation Rates. Data from the College Results Online website compared the 2011 graduation rate and median SAT score for 92 similar-sized public universities and colleges in the United States. The scatterplot below shows the relationship between these two variables along with the least squares fit. Round all calculated results to 4 decimal places. I ONLY need help with question 6.
Mr. Bates wants to compare the midterm scores of his students who took the course during the fall semester versus the spring semester. Here is the data: Fall 89 86 64 91 72 94 87 83 86 90 74 59 87 97 87 Spring 76 70 82 94 76 66 72 51 75 97 74 81 85 96 74 Can he say that there was a significant difference between his fall and spring students? (Use α = .10)
Here are the scatter plots for two sets of bivariate data with the same response variable. The first compares the variables x & y. The second compares the variables w & y O O 00 00 + O Q Which explanatory variable has a stronger relationship with the response variable y? O The first variable (x) has a stronger relationship with the response variable y. O The second variable (w) has a stronger relationship with the response variable y.
On average, a sample of n = 36 scores will provide a better estimate of the population mean than a sample of n = 49 scores from the same population.
Assume that a high school principal believes that high number of absences hinders the students' ability to perform on standardized tests. He randomly selects a sample of 9 students who had 5 or more absences in the school year. The average ACT Composite score for this sample is X = 19 with s = 4.9. ACT Composite scores are normally distributed with u = 21.0. Do the data support the claim that the high number of absences hinders the students' ability to perform on standardized tests, using a = .05? Please show the four-step hypothesis test. %3D
I need #4 answered
COMPUTE BY HAND NOT EXCEL, GOOGLE SHEETS etc 5. Write a brief paragraph about whether the in-home counseling is equally effective as the out of home treatment for two separate groups. Here are the data. The out come variable is level of anxiety after treatment on a scale from 1-10 Total In-home treatment X Out of home treatment Y X2 Y2 XY 1 3 7 9 49 21 2 4 6 16 36 24 3 1 7 1 49 7 4 1 8 1 64 8 5 1 7 1 49 7 6 3 6 9 36 18 7 3 5 9 25 15 8 6 6 36 36 36 9 5 4 25 16 20 10 1 2 1 4 2 11 4 5 16 25 20 12 5 4 25 16…
2. A researcher had rats engage in a lever-press task for either a small, medium, or larger reward. The number of lever presses was the dependent variable. The data were as follows: Reward Size Small Medium Large 1 4 6 4 3 5 1 4 4 2 5 T = 13 SS = 2.75 T= 6 T= 20 SS = 9 SS = 2 EX2 = 165 a. Do the data indicate that reward size had a significant impact on lever-pressing? Use the hypothesis testing steps & p = .05. Compute any necessary post-hoc tests. b. Compute eta-squared to measure the effect size.
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. The least-squares regression line for these data has equation Ŷ=42.80-0.53x. This line is shown in the scatter plot below. (The 2nd picture contains the rest of the data as it would not fit in the first pic and it includes the question as well.)
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
Your daughter is wasting my husband's money by trying to collect 6 rare photocards from a foreign album. Calculate the average number of albums she needs to buy in order to get all the 6 collectibles. Use the three trials shown below for your simulation.(Note: Treat the data vertically, and in order).
!.) Compute the predictive value positive and predictive value negative.

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