Using a TI 84 calculator find the least square regression line, treating the length of the right humerus x as the explanatory, variable, and the length of the right tibia as the response variable Activity 2: Determining the Least Squares Regression Line Using the TI-84Research performed at NASA and led by Emily R. Morey-Holton measured the lengths of the right humerus and right tibia in 11 rats who were sent to space on Spacelab Life Sciences 2. The data below were collected.| Right Humerus (mm), x | Right Tibia (mm), y ||------------------------|----------------------|| 24.80 | 36.05 || 24.59 | 35.57 || 24.94 | 36.15 || 24.39 | 35.61 || 23.51 | 34.20 || 25.90 | 37.38 || 26.11 | 37.96 || 26.31 | 37.46 || 25.03 | 37.65 || 25.85 | 38.75 || 26.84 | 38.50 || 24.87 | 34.73 |Source: NASA Life Sciences Data Archive**Determining the least squares regression line**a. Using your TI-84 calculator, find the least-squares regression line treating the length of the right humerus, x, as the explanatory variable and the length of the right tibia, y, as the response variable.\[ y = \]**Interpreting the Slope**b) Interpret the slope.**Interpreting the y-Intercept**c) Is it appropriate to interpret the y-intercept? If so, please provide the interpretation. If not, please explain why it is not appropriate.\[ \]**Using the Least Squares Regression Line to Estimate**

Activity 2: Determining the Least Squares Regression Line Using the TI-84 Research performed at NASA and led by Emily R. Morey-Holton measured the lengths of the right humerus and right tibia in 11 rats who were sent to space on Spacelab Life Sciences 2. The data below were collected. Right Humerus (mm), .r Right Tibia (mm), y 36.05 35.57 35.57 34.58 34.20 34.73 Right Humerus (mm), .x 24.80 24.59 24.59 24.29 23.81 24.87 Source: NASA Life Sciences Data Archive i=nterpreting the Slope CONSO b) Interpret the slope. 25.90 26.11 26.63 26.31 26.84 Right Tibia (mm), y 37.38 37.96 37.46 37.75 38.50 Determining the least squares regression line a. Using your TI-84 calculator, find the least-squares regression line treating the length of the right humerus, x, as the explanatory variable and the length of the right tibia, y, as the response variable Interpreting the y-Intercept c) Is it appropriate to interpret the y-intercept. If so, please provide the interpretation. If not, please explain why it is not appropriate.

Activity 2: Determining the Least Squares Regression Line Using the TI-84 Research performed at NASA and led by Emily R. Morey-Holton measured the lengths of the right humerus and right tibia in 11 rats who were sent to space on Spacelab Life Sciences 2. The data below were collected. Right Humerus (mm), .r Right Tibia (mm), y 36.05 35.57 35.57 34.58 34.20 34.73 Right Humerus (mm), .x 24.80 24.59 24.59 24.29 23.81 24.87 Source: NASA Life Sciences Data Archive i=nterpreting the Slope CONSO b) Interpret the slope. 25.90 26.11 26.63 26.31 26.84 Right Tibia (mm), y 37.38 37.96 37.46 37.75 38.50 Determining the least squares regression line a. Using your TI-84 calculator, find the least-squares regression line treating the length of the right humerus, x, as the explanatory variable and the length of the right tibia, y, as the response variable Interpreting the y-Intercept c) Is it appropriate to interpret the y-intercept. If so, please provide the interpretation. If not, please explain why it is not appropriate.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Explain about the least square regression line?
Please do not give solution in image format thanku
Show the best fitted line on scatter diagram and Find the predicted value for each y using the exposure time and the equation obtained in part b (b. Find the equation of regression line between radiation doses on exposure time .usingleast square method)
Please show all working manually
For a regression line y^=mx+b, what does the Sum of Squares Due to Error measure? Select the correct answer below: the total variation in x that cannot be explained by variation in y the total variation in y that cannot be explained by the error, or residuals, for x the total variation in y that cannot be explained by the variation in x the total variation in x that cannot be explained by the error, or residuals, for y
Please answer this questions I need help from expert. I will give likes to your answer answr in 10 minutes. Thanks. Don't copy from any websites
Find the slope of regression line, y-intercept of regression line, coefficient of determination (r^2), and the linear correlation coefficient (r)
Please do not give solution in image format thanku
Study conductes in patients with HIV. Primary outcome is CD4 coubt(measure stage of disease). Lower CD4=more advanced disease. Wqnt to find association between taking vitamins and supplements and CD4 count. Multiple regression analysis done relating CD4 to use of supplements (1=yes 0=no) and to duration of HIV in years. (# of yeara between diagnosis and study date) y=CD4 Count Y=501.41+12.67 supplements -30 23 duration of HIV. A. What is ezpected CD4 count for patients taking supplements who had HIv for 2.5 years? B. Expected CD4 count not takong supplements with HIv at study start date? C. Expected CD4 coubt for patients not taking supplements with HIV for 2.5 years? D. Uf compare 2 patients, 1 HIV for 5 years longer than other, whats expected difference in CD4 count?
What are the different measures used for the OLS estimate of the multiple regression line?