The following data were collected from a sample of fathers and sons. The heights aregiven in inches.Construct a 95% confidence interval for the slope of the regression line. Round youranswers to two decimal places, if necessary.2Heights of Fathers and Sons (in Inches)Height of Son, yHeight of Father, xAnswer:747571737667687376Lower endpoint:Upper endpoint:747473757666677277

The data shows the height of fathers and sons.

Answered: The following data were collected from…

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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Answer the attachment below alongside with the breakdown of the answers.
In a study on running and happiness, runners indicated the number of miles they ran in a day and their subsequent score on a Happiness Survey (higher score = greater happiness). Runner # of miles (x) Happiness Score (y) 1 16 12 2 4 3 12 14 4 2 8 For these data: The mean of miles run is: 8.50 The mean of the Happiness scores is: 10.00 The standard deviation of the Miles scores is: 5.72 The standard deviation of the Happiness scores is: 3.16 In your submission, please include a copy of the SPSS or Excel output and answer the following: A. What is the r and r? value? B. Based on Pearson's r and r2 value, describe the relationship (direction/strength) that exists between # of miles run and Happiness scores. C. Create a scatterplot for the data using Excel or SPSS (include output in your submission). D. Insert the prediction line from Excel/SPSS on your scatterplot.
Use the departure delay times and the arrival delay times to test the claim that there is a correlation between departure delay times and arrival delay times. Test for rank correlation with a 0.05 significance level. Click here to view the flight delay data. Click here to view the critical values of Spearman's rank correlation coefficient. Flight delay data .... Determine the null and alternative hypotheses for this test. Choose the correct answer below. O A. Hg: Ps =0 Departure Delay Arrival Departure Delay Arrival O B. Ho: Ps #0 H: Ps = 0 Departure Delay Arrival H: Ps #0 Delay Delay Delay - 36 -7 11 14 OC. Ho:r 0 H:r=0 O D. Ho: r =0 H:rg 40 -21 15 25 -33 10 -32 Determine the the correlation coefficient. - 5 32 13 4 12 16 -23 (Round to three decimal places as needed.) 3 14 -38 60 28 13 3 13 149 111 Determine the critical value(s) of the correlation coefficient, -38 -7 -35 - 3 -21 -23 23 - 2 -10 14 (Round to three decimal places as needed. Use a comma to separate answers as needed.)…
One group's measure of math anxiety following a stress management seminar (pre and post test scores). A. T-test independent samples B. T-test dependent samples C. One-way ANOVA D. Correlation E. Chi square F. Simple Regression
Question 1. Greater than or Less than. Question 2. IS or IS NOT.
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
Also included in question find estimated variance of errors, estimated variance of slope, and 90% and 95% confidence intervals for slope. Thank you so much
A business department is trying to determine if their program is competitive. They survey recent graduates from their program and compare their recent grads' starting salary to the national average of recent graduates ($48,000 a year). One-Sample Statistics Std. Std. Error Mean Deviation Mean I Incom 84 50,633.333 8,314.7474 1,100.3179 e 4 One-Sample Test Test Value = 48,000 %3D 95% Confidence Interval of the Mean Difference Sig. (2- tailed) Differenc df Lower Upper e Incom 2.144 83 .041 2,633.33 270.923 6,555.74 e 333 9. 28 a) What are the results of this analysis? Write an APA-style statement describing these data as though it were a research report. b) Do you think these results are practically significant? Why or why not? 1,537 words 3.
You are interested in estimating the the mean weight of the local adult population of female white-tailed deer (doe). From past data, you estimate that the standard deviation of all adult female white-tailed deer in this region to be 17 pounds. What sample size would you need to in order to estimate the mean weight of all female white-tailed deer, with a 96% confidence level, to within 7 pounds of the actual weight? Sample Size:

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