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 ACTscore. The dependent variable is the ACT score, the first independent variable (x) is the number of hours spent studying, and the secondindependent variable (x2) is the student's GPA.Effects on ACT ScoresStudy HoursGPA ACT Score02171220322554265426Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.Copy Data

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Answered: The following data was collected to…

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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Data is collected on the number of ice cream cones sold in a shop on a certain day and the number of people wearing sunglasses visiting the shop that same day. What type of relationship is most likely to exist between these two variables? positive correlation and causal relationship negative correlation and causal relationship positive correlation but not causal relationship negative correlation but not causal relationship
Sarah is interested in whether the extent to which parents are involved in their children's school differs based on students’ grade in school (i.e., first, second, third, etc.). What is the independent variable in Sarah's research question? Group of answer choices students degree of parent involvement grade level parents
I. Background The Food and Drug Administration (FDA) tries to find out whether there is a relation between the number of years people smoked and the percentage of lung damage. FDA asks you for your help to find it out. You interviewed twenty people who have smoked and obtained the following data. II. Technical report: a) Draw a scatter plot. b) Based on the scatter plot, explain whether the number of years and the percentage of lung damage are correlated. If they are correlated, discuss the strength of correlation, and the direction (positive or negative). c) Find the correlation coefficient r. Explain what r implies. d) Choose your own significance level a (1 suggests 0.1, 0.05 or 0.01). State and test the hypothesis. Explain what your findings mean. e) Do your observations in part (b) agree to the results from part (c) and (d)? Explain f) Find the regression line equation. Explain what the line implies. g) Draw the regression line on your scatter plot. h) A man has…
Rail ridership during the summer months in the North-East is believed to beclosely related to the number of tourists visiting the region. The following tableshows the data on the number of tourists and North-East ridership for the past16 years.Year Tourists( in millions) Rail Ridership (in millions) 2000 9 2.32001 4 1.9 2002 7 1.7 2003 5 1.8 2004 12 2.8 2005 13 2.9 2006 14 2.42007 20 4.8 2008 7 1.3 2009 5 1.12010 9…
For the following pairs of variables, indicate whether you would expect a positive correlation, a negative correlation, or close to 0 correlation. Maximum daily temperature and cooling costs Interest rates and number of loans Incomes of husbands and wives in dual career families Height and IQ Height and shoe size Score on the Math SAT and Verbal SAT scores Time spent on video games and college GPA Use of fertilizer and yield of crops
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Avg. Weight of Americans 200+ 180 160 140 120 100 1950 1960 1970 1980 1990 2000 2010 Year (a) What variable is the explanatory variable and which is the response variable? (b) Describe the general association of the plot. (c) Does a correlation of -0.25 make sense for this scatterplot? Explain
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ASSESSMENT Direction: Read, analyze and answer the following problems below. Show all necessary solutions. 1. The data below show the age and systolic blood pressure of six randomly selected subjects. Compute for the correlation coefficient and interpret the results. Age (x) Pressure (y) 43 48 56 61 67 70 128 120 135 143 141 152
2 Please don't provide hand written solution
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?

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