An article presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summaryquantities are n = 14, Σy: = 572, Σy = 23530, Σ x₁ = 43, x² = 157.42, and xy; = 1697.80. Assume that the twovariables are related according to the simple linear regression model.Round your answers to 3 decimal places.(a) Test for significance of regression using a = 0.05.(b) Estimate o2.i(c) In this model, what is the standard error of the intercept?iWhat is the standard error of the slope?i

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Answered: An article presented data on…

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 researcher wants to know if there is a significant correlation between hours spent studying for an exam (X) and exam performance (Y). Level of significance is 0.05, degrees of freedom is 3, and the critical value is 0.878. Interpret the strength and direction of the correlation, calculate and interpret the coefficient of determination, then develop the simple regression equation for the two variables. X (Time Spent Studying in Hours) Y (Exam Performance, 0 to 100) 3 56 6 77 7 79 8 70 11 96 Mean 7.00 75.60 SD 2.92 14.54 For this question, on your hand calculation document clearly state: a) the null hypothesis, b) the alternative hypothesis, c) the alpha level you are using, d) the critical value, e) process for calculating r, f) your decision about the null hypothesis, g) the coefficient of determination, h) and regression equation. This is what I will be marking. You may also enter your responses here, but it is…
B4
Solids (grams) obtained from a material as y, with respect to drying time (Hours) as x. Ten experiments were carried out to obtain the following observations: Table on the picture (a) Create a scatter diagram for the data. (b) Estimated regression model according to the data conditions. (c) Calculate Model Accuracy (R²) and Relationship Between Variables (r²)
I need to find the test statistic. please round to two decimal places as needed
A researcher investigates the relationship between cigarette smoking (X) and work absences (Y). The number of cigarettes smoked daily and the number of days absent from work due to illness are collected for N= 12 employees. The preliminary results are below: What is the regression equation? How many absences (Y) would expect someone who smokes X = 10 cigarettes a day to have?
Short Answer 2 Show that if the regression model contains a constant regressor, then Ý = ", Ý.
I need answers for A, B, C The flow rate in a device used for air quality measurement depends on the pressure drop x (inches of water) across the device's filter. Suppose that for x values between 5 and 20, these two variables are related according to the simple linear regression model with true regression line y = -0.14 + 0.091x. (a) What is the true average flow rate for a pressure drop of 10 in.? and A drop of 15 in.? (b) What is the true average change in flow rate associated with a 1-inch increase in pressure drop? (c) What is the average change in flow rate when pressure drop decreases by 5 in.?
Correlations Pearson Correlation 444 Sig. (2-tailed) .199 10 10 y Pearson Correlation 444 1 Sig. (2-tailed) .199 N 10 10 Descriptive Statistics Mean Std. Deviation 10 83.40 9.009 10 46.70 18.185 Valid N (listwise) 10
Volunteer hours, please show work and neat handwriting
Solvent cement is used to join PVC joints. Researchers are interested in predicting the amount of time needed for the joint to set (measured in hours) as it is related to the temperature measured in degrees F for 4 to 8-inch diameter pieces. A random sample of PVC joints was taken and a linear regression model was found. Use the following output and the fact that R2 = 0.965 to answer the following questions. 1. Find the equation of the regression line. 2. Interpret the slope in the words of the problem. 3. Find the Coefficient of Determination and interpret in the words of the problem
Two variables gave the follo ing data: Y = 15, X = 20. 4, O, = 3, r = + 0.7 %3D %3D Obtain the two regression equations and find the most likely value of Y when X= 24.
a and b please

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