After running a linear regression with 1-factor, with the market premium, if beta is positive, then? O the stock and the market are positively correlated (move in the same direction) O the stock and the market are negatively correlated (move in the opposite direction) O no meaning O not enough information

After running a linear regression with 1-factor, with the market premium, if beta is positive, then? O the stock and the market are positively correlated (move in the same direction) O the stock and the market are negatively correlated (move in the opposite direction) O no meaning O not enough information

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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A correlation coefficient provides two pieces of information about a relationship between two variables. These are -Strength; direction of relationship - Direction, proportions - Direction, which one causes which - Which one causes which, effect size. READ FIRST: Show as much of your work in the text box below as possible, and include the rest in your scratch work. Scratch work supports what you write on this exam form. At the minimum, type your answers to each of the following 5 questions A-E in the text box - do not refer me to your scratch work for the answers. Do show your work (on the exam form or scratch work) for the calculations needed to answer B, so partial credit can be given in the case of a math error that throws off your calculations. The best way to do this is inside tables if possible. Total 10 15 You conduct a survey to find out whether talking on a cell phone during a romantic date bothers people. You want to find out if there is a gender difference on this issue,…
Two variables have a strong negative correlation. Which of the following statements is most accurate?a. the data points lie very close to the line of best fitb. the line of best fit must have a large negative slopec. the line of best fit must have a large positive sloped. many data points do not lie very close to the line of best fite. none of the statements are accurate I Know its between a or b but want to double check as I belive its A but see some others saying its B thanks
Using the data, the mad scientist wishes to compute a regression equation to predict future Werewolf captures (he wants to do this regardless of whether the correlation above is significant—he is mad after all). Nights until the full moon (X) # of Werewolves caught (Y) 7 1 6 2 2 4 3 5 2 8 1 Calculate a regression equation to predict Werewolf captures (Ŷ) from number of nights until the full moon (X) 2 Use this regression equation to predict how many Werewolves will be caught 3 nights until the full moon. 3 Use this regression equation to predict how many Werewolves will be caught 6 nights until the full moon.
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A scientist, who wants to study the effects of precipitation on rice crops, sets up an experiment with 4 groups of rice crops. Rice crop harvest vs. precipitation level Group B Group A 0 150 Group C Precipitation (cm/annually) Harvest (pounds/acre) 0 60 Which statement best describes the relationship between the dependent and independent variables in this study? 20 O The amount of precipitation is dependent on the amount of rice harvest. O The amount of rice harvest is positively correlated with the increase in precipitation. The amount of rice harvest is not affected by the amount of precipitation. The amount of rice harvest is negatively correlated with the increase in precipitation. 200 Group D 40 300
im lost with this problem, what exactly is the hypothesis and what does it reject? also, are the 3 regression table called multiple regression, do you get the best predictor and get the reject hypothesis from there? also, is the correlation coefficient the same as a correlation matrix????
The degrees of freedom of correlation test is determined by what?
In correlational research the Null hypothesis states that Choose one the correlation coefficient is 0 or The correlation is significantly different between groups or the correlation coefficient is 1.00 or -1.00
Research was conducted on the amount of training for 5K and the time a contestant took to run the race. The researcher recorded the number of miles during training ( a 1 month period) and the time to complete the 5K. The results are below. Miles Trained 45 77 37 25 60 64 Time (Minutes) 32.9 28 36.2 27.5 19.5 18.3 a) Give the correlation coefficient. r = b) Give the equation of the regression line. Round the values to 4 deimal places.This is in the form y = ax + b, so the slope goes in the first box and the y-inercept in the 2nd box.y = x + c) Interpret the y-intercept (Explain it's meaning, do not just give its value.)d) Predict the time in the 5K if someone trained 37 miles.Use the rounded values entered for the slope and intercept of the regression line to compute the predicted y-value.y = e) Give the residual for 37 miles trained.This is the actual y value for the runner who trained for miles minus the predicted value.Residual=
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What information is provided by r2? What are the primary uses of partial correlations?
Right arm 102 101 94 79 79 Left arm 175 169 182 146 144 If the sample data were to result in the scatterplot shown here, what is the value of the linear correlation coefficient r?