2ze4. Which of the following is the best interpretation of the quantity S = 145.851?L Standard deviationaverage distance between the file size of each of these essays and the mean file sizefor all the essays in this sample is about 146 KB.(b) The sum of the squared deviations between each observed file size and the file sizepredicted by the regression equation is 146 KB.(c) The average distance between the words counts of each of these essays and the meancou word count for all the essays in this sample is about 146 KB.(d) The sum of the squared deviations between each observed word count and the word countpredicted by the regression equation is 146 KB.(e) Predictions of word count from file size based on this regression model will be off by anaverage of about 146 KB.nowordTheThe(a) Use the following for questions 3-5.A statistically-minded English teacher wonders if she can predict the lengths of essays that herrandom sample of 13 student papers (all produced by the same word-processing software)students submit on the basis of how large the computer files for the essays are. She selects aregression analysis of her data is given below. Assume all conditions for inference for slopeand compares file size (in kilobytes or KB) to the word count for each. A computerhave been met.PredictorConstantFile SizeTerence for QuaSCoefSE Coef-1450.376.50773.428.60145.851 R-Sq= 39.4%TP0.088-1.882.67 0.0227R-Sq (adj)33.9%linear regres+- test

The regression analysis is done to predict the value of study variable for the given value of…

Answered: 4. Which of the following is the best…

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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In the above regression of air quality on other variables in question 2, R-squared is 0.3829. How do you interpret it?
Choose the value of the Pearson's Correlation Coefficient (r) that best describes the two plots. : 0.504, II: -0.232. 2) I: -0.904, II: 0.232. 3) I: 0.904, II: -0.232. 4) I: -0.232, II: 1.304. 5) I: 0.904, II: -0.632.
Explain what would happen to the F ratio of this analysis of variance if 2 points were added to each score in Finals only group? (Note: The new scores would be 2, 4, 2, and 4 with T = 12 and SS = 4.)
I need help solving part a and b of the following question attached.
The data is presented in parallel format. Before running the ANOVA in Excel, you will need to put it into serial (column) format. You will need to create a categorical variable for the first factor (days) and for the second factor (time of day). This is a critical step.The data presented shows exam scores for students randomly assigned to the sections meeting on these days at these times of the day: Thursday Friday Morning Afternoon Morning Afternoon 70.878.15978.246.646.476.559.376.370 65.678.359.359.778.680.892.780.865.392.3 90.890.569.177.36977.558.677.877.558.6 63.372.854.254.472.166.26372.56672.2 Conduct a 2-way ANOVA. First, find the group means for each level of the factors. (Report answers accurate to 2 decimal places.)Days: MThursday=MThursday= MFriday=MFriday= Time of day: Mmorning=Mmorning= Mafternoon=Mafternoon= Report the results of the ANOVA for the main & interaction effects. (Report P-values accurate to 4 decimal places and…
There are 6 parts for this Question. Please help
3. The table below illustrates the number of visitors to Museum Fantastic over the last 100 days': No. of Visitors No. of Days 21 - 40 22 41 - 60 4y+2 61 - 80 26 2y-4 81 - 100 (a) Find the value of mean, mode and standard deviation for this dataset. (b) By comparing the values of mean and mode, what can you say about the skewness of this data? Justify your answer with the Pearson's measure of skewness. (c) The mean and standard deviation for the number of visitors at Museum Awesome over the same period of time are 53 and 21.5 respectively. Determine which museum has relatively dispersed number of more Justify your answer. visitors.
5) Can i get help with this question please
Qualitative researchers should view the opinions of other researchers about the themes derived from data analysis as biased. This is because other researchers would not be as familiar with the results as the researcher. True False A researcher has conducted a crosstabs analysis to understand the distribution of income across 3 different gender groups (male, female and non-binary). They notes that the Chi-square test produced an asymptotic significance level of 0.027. What does this suggest? (pick the most appropriate interpretation) Income does not vary across different genders Income does not differ across the different grouops There are significant differences in the distribution of income for the male, female and non-binary groups The male group has sufficiently more income compared to the female and non-binary groups
just question 18 please
You plan to fit a regression model that will be used to predict first-year college GPA (FYGPA) from high-school GPA (HSGPA), ACT score (ACT), first-generation status (Yes or No), socioeconomic class (lower class, lower to middle class, middle to upper class, and upper class), and school type (public or private). What is the total number of estimated regression coefficients? If the sample size is n = 250 students, what are the degrees of freedom for the following sources of variation: Regression Error Total
A researcher found a significant correlation of .12 between gender (coded as 0 = ‘male’ and 1 = ‘female’) and number of friends at university. If the assigned values of gender were changed to 1 = ‘female’ and 2 = ‘male’, how would this affect the correlation? The strength of the relationship would become weaker The amount of variance explained by the relationship would increase It would become nonsignificantThe sign would change to become negative A researcher is trying to predict anxiety (measured on a 7-point scale) from exposure to stress (operationalised as the number of stressful life events participants can recall in the last week). She has found a correlation coefficient of r = .54 between anxiety and stress, with a standard deviation of 4.45 for anxiety and a variance of 17.21 for stress. What other information is needed to calculate b? The sums of squares of stressThe sums of products of anxiety and stress The covariance of anxiety and stressNo other information is…

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