r=weight in ounces212y=2211The correlation coefficient:40444411104629The test value is:number of pages10198614512193130849611151The equation y=a+bx is: (round to 3 decimal places)The p-value is:(round to 3 decimal places)The hypotheses are:Hop 0 (no linear relationship)HA:P 0 (linear relationship) (claim)XSince a is 0.05 the critical value is -2.262 and 2.262(round to 3 decimal places)(round to 3 decimal places)

Given data: weight in ounces number of pages 21 101 2 98 22 61 11 45 40 121 44 93…

Answered: weight in ounces 21 2 22 11 40 44 44 11…

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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X Y 14 25 26 28 19 27 13 21 28 31 23 24 30 31 26 27 19 29 Mean. 22 27 Std. Dev 6.08 3.28 Correlation 0.76 What is the tcritical value using the direct difference approach?
1) The coefficient of variation for males is? 2)The coefficient of variation for females is? 3) Compare the variability of grade point averages of males and females. Choose the correct answer below. A)The grade point averages of females and males do not vary. B)The grade point averages of females are more variable than males. C) The grade point averages of males are more variable than females. Your answer is not correct. D) The grade point averages of females and males have the same variation.
I just do not understand this process, any help is greatly appriciated. LINEAR CORRELATION PROJECT / Topic: Does per capita income affect birth rates Construct a hypothesis (remember for a sample size of 20, the absolute value of r should be greater than 0.45) Country Per Capita Income Average Birth Rate Afghanistan $ 530 37.9 Austria $ 51,460 9.5 Cambodia $ 1,530 23 Canada $ 46,370 10.3 Denmark $ 63,950 10.5 Ecuador $ 6,090 17.9 France $ 42,450 12.2 Haiti $ 1,330 23 India $ 2,120 19 Kenya $ 1,750 23.9 Monaco $ 186,080 6.6 Nigeria $ 2,030 36.9 Peru $ 6,740 17.8 Philippines $ 3,850 23.7 Russia $ 11,260 11 Serbia $…
3.Given the following data X= additional number of Y= Grade improvement since last exam studying hours since last exam 2 5 4 6 5 8 5 10 7 11 8 12 10 13 12 14 12 15 9 12 a. Draw a scatter diagram and speculate on the direction linear relationship between the two variables (in complete sentence)...Clearly label the 2 axes... b.…
19. Which statement is correct? (A) The correlation coefficient and the intercept of the regression line always have the same sign. (B) The slope and the intercept of the regression line always have the same sign. (C) The correlation coefficient and the intercept of the regression line always have the same sign. (D) The correlation coefficient and the slope of the regression line always have the same sign. If you feel the answer is none of the choices given, submit no answer to the question.
Can someone help me out with these questions.
21. Which of the following statements is true regarding the sources of variation present in an analysis of regression? SSy is partitioned into variation explained by the regression model and residual variation. If most of the variability in Y is associated with residual variation, then X predicts Y. There are three sources of variation in an analysis of regression: regression variance, residual variance, and error variance. Regression variation measures variability in X, whereas residual variation measures variability in Y.
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?
#1
I need help with this question 1. Are the main effects significant? Explain

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