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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The following data relate to marks in Advanced Accounts and Business Statistics in B.Com. (H.), Il yr Examination of a particular year in Delhi University : Mean Marks in Advanced Accounts Mean Marks in Business Statistics Standard Deviation of Marks in Advanced Accounts Standard Deviation of Marks in Business Statistics Coefficient of Correlation between the Marks in Advanced Accounts and Business Statistics Find the two regression lines and calculate the expected marks in Advanced Accounts if the marks secured by a student in Business Statistics are 40. = 30 = 35 = 10 = 7 = 0-8
Suppose a car's city miles per gallon rating can be determined by the car's weight. The means and standard deviations of these variables and the correlation coefficient between them are reported in the following table: What proportion of the variability in cars' miles per gallon ratings is explained by the least squares line with weight?
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
Which of the following is the equation of the relationship between the predictor variable (x) and the response variable (y)? A y = 25.707 + 0.9887xB y = 29.796 + 0.5897xC y = 25.707 + 0.5897xD y = 29.796 + 0.9887x
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…
Just question 19 please
Actuaries use various parameters when evaluating the cost of a life insurance policy. The variance of the life spans of a population is one of the parameters used for the evaluation. Each year, the actuaries at a particular insurance company randomly sample 30 people who died during the year (with the samples chosen independently from year to year) to see whether the variance of life spans has changed. The life span data from this year and from last year are summarized below. Current Last Year Year *1 = 75.8 x2 = 76.2 s3 = 47.61 s3= 92.16 (The first row gives the sample means and the second row gives the sample variances.) Assume that life spans are approximately normally distributed for each of the populations of people who died this year and people who died last year. Can we conclude, at the 0.05 significance level, that the variance of the life span for the current year, of, differs from the variance of the life span for last year, o,? Perform a two-tailed test. Then complete the…
The F-statistic is a ratio score resulting in a measure of the estimated proportion of variance due to the independent variable. True or false
The director of research and development is testing a new drug. She wants to know if there is evidence at the 0.02 level that the drug stays in the system for more than 312 minutes. For a sample of 69 patients, the mean time the drug stayed in the system was 319 minutes. Assume the variance is known to be 400. Step 2 of 5 : Enter the value of the z test statistic. Round your answer to two decimal places.
What is the proportion of variance shared between the 2 variables? (How much of the variance in one variable can be predicted by the variance in the other variable?) Provided : mean 1 = 13.6 SD 1 = 2.26 Mean 2 = 102.7, SD= 11.36 Coefficient r = 0.47
Choose the alternative that best answer the questions: I. Perfect multicollinearity occurs when the correlation coefficient between two independent variable is zero or closer to zero. II. Perfect multicollinearity will produce unbiased estimates II. Perfect multicollinearity will produce estimates with higher variance IV. Perfect multicollinearity should be ignored in the regression model and all variables should be kept in the model. O Only I is TRUE ALL are TRUE Only IV is TRUE O Only Il and III are TRUE

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