Write your complete solutions and box your answers.Regression methods were used to analyze the datafrom a study investigating the relationship between roadwaysurface temperature (x) and pavement deflection (y). Summaryquantities weren = 20, Σy = 12.75, Σy = 8.86, Σx; = 1478,Σx = 143,215.8, and Σ.xy = 1083.67.Find a 99% confidence interval on each of the following:(a) Slope(b)Intercept(c) mean deflection when temperature x = 85°F

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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 on æ = the line speed (feet per minute) and y = the number of defective parts found for a production process at Brawdy Plastics provided the estimated regression equation ŷ = 27.5 – 0.3x. Excel File: data14-37.xlsx Number of Defective Line Speed Parts Found 20 23 20 21 30 19 30 16 40 15 40 17 50 14 50 11 For these data SSE = 16 Develop a 95% confidence interval for the mean number of defective parts for a line speed of 25 feet per minute (to 4 decimals). Use Table 1 of Appendix B. to
A psychology professor studies the relationship between anxiety(X) and test performance (Y). Ten students take an anxiety questionnaire prior to taking the final exam. Below is the SPSS printout of the regression equation. Correlations Anxiety FinalExam Anxiety Pearson Correlation 1 -.691* Sig. (2-tailed) .027 N 10 10 FinalExam Pearson Correlation -.691* 1 Sig. (2-tailed) .027 N 10 10 *. Correlation is significant at the 0.05 level (2-tailed). ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 861.959 1 861.959 7.301 .027b Residual 944.441 8 118.055 Total 1806.400 9 a. Dependent Variable: FinalExam b. Predictors: (Constant), Anxiety Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 125.883…
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.244 b=35.185 r=0.974169 r=-0.987 Assume the correlation is significant, and use this to predict the mumber of situps a person who watches 5.5 hours of TV can do (to one decimal place)
With the growth of cryptocurrency providers, an IT researcher decides to test out whether there is such a relationship between the cost of subscription and the degree of customer satisfaction using a scale of 1-10. Below is a sample data obtained from 12 customers. Cost of Degree of a. Calculate the correlation between the variables Service Satisfaction and interpret the result. b. Determine the regression equation c. At Php675 subscription, what is the likelihood (X) (Y) 300.0000 6.0000 200.0000 8.0000 of the customer satisfaction? 500.0000 7.0000 d. At 7.4 customer satisfaction, what is the likelihood of the cost of subscription? 600.0000 9.0000 300.0000 10.0000 400.0000 9.0000 800.0000 5.0000 900.0000 6.0000 400.0000 8.0000 600.0000 7.0000 500.0000 7.0000 700.0000 9.0000
A football coach is looking for a way to identify players that are "under weight". The coach decides to get data for each player's height (x, in inches) and weight (y, in pounds), then does a linear regression. The results are: 58+3.7x, r = 0.86 and the standard error is Se = 10.4. Since there is a strong linear correlation the coach, who also majored in Statistics, decides to identify all "outliers" in the data. Obviously, any player whose weight is above the regression line is not "under weight". So the only outliers the coach is interested in are those that are below the regression line. What is the lowest weight possible for a 75 inch player to not be considered "under weight"? Do not round. Submit Question ctor GSearch or type URL & % 24 6 7
A researcher wanted to know the relationship between sales per 24h in a department store, the amount of rain that day (in mm) and the mean age of 1000 customers. The SPSS output is presented below. What is the correct way to report the correlation between sales per 24h and rainfall that day in APA style? Question 24 options: r(16) = -.909, p<.001 r(18) = -.909, p=.000 r(18) = -.909, p<.001 r(16) = -.909, p=.000
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age Answer How to enter your answer (opens in new window) Bone Density 40 61 62 68 69 357 350 343 340 315 Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places. Tables Copy Data Keypad Keyboard Shortcuts Table Previous step answers Submit Answer Dec 3 4:51 VI
Please help me understand the context of the word problem and formula used to calculate odds ratio. A researcher is attempting to explore the relationship between study duration per day (0 - 8) and the passing of the science course (Pass=1, Fail=0). For this purpose, a sample of 36 students from Alabama University are chosen. Summary of the logistic regression model is given below. First, calculate the Odds Ratio of the slope and then calculate the 95% confidence interval for the Odds Ration of the slope. Please provide interpretations for both.
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If the analysis of a sample for iron content yields a mean result of 35.40% with a standard deviation of 0.30%, the size of the confidence interval will vary inversely with the number of measurements made. For two measurements, the confidence interval (90%) is: 35.40+6.31 x 0.30 x 2 = 35.40% ±1.34% Show for or five measurements???

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