The investigators for a study collected standardized data on timed 24-hour urinary excretion for 10,079 men and women from 52 population samples in 32 countries. One of the goals of the study was to quantify the relationship between 24-hour urinary Na (y) and estimated 24-hour urinary Na (x) obtained from casual urine specimens at one point in time. The investigators presented a simple linear regression of y on x, separately for men and women. The regression equation for men was: Y = 1.09x - 7.11, with R2 = 0.26, n = 1,369 Hint: Assume that a t distribution with > 200 df is the same as a N(0, 1) distribution. You can use the Distribution Calculators page in SALT to find critical values and/or p-values to answer parts of this question. (a) What does the R2 of 0.26 mean in words? OR² = 0.26 means that about 74% of the time the estimated 24-hour urinary Na matches the 24-hour urinary Na obtain from casual urine specimens at one point in time. O R² = 0.26 means that about 26% of the variation in 24-hour urinary Na can be explained by estimated 24-hour urinary Na obtain from casual urine specimens at one point in time. O R² = 0.26 means that about 26% of the time the estimated 24-hour urinary Na matches the 24-hour urinary Na obtain from casual urine specimens at one point in time. OR² = 0.26 means that about 74% of the variation in 24-hour urinary Na can be explained by estimated 24-hour urinary Na obtain from casual urine specimens at one point in time. (b) What is a two-sided p-value for the regression? (Round your answer to four decimal places.) (c) What is the estimated standard error of the slope estimate? (Hint: Use the t test for simple linear regression. Round your answer to four decimal places.)
The investigators for a study collected standardized data on timed 24-hour urinary excretion for 10,079 men and women from 52 population samples in 32 countries. One of the goals of the study was to quantify the relationship between 24-hour urinary Na (y) and estimated 24-hour urinary Na (x) obtained from casual urine specimens at one point in time. The investigators presented a simple linear regression of y on x, separately for men and women. The regression equation for men was: Y = 1.09x - 7.11, with R2 = 0.26, n = 1,369 Hint: Assume that a t distribution with > 200 df is the same as a N(0, 1) distribution. You can use the Distribution Calculators page in SALT to find critical values and/or p-values to answer parts of this question. (a) What does the R2 of 0.26 mean in words? OR² = 0.26 means that about 74% of the time the estimated 24-hour urinary Na matches the 24-hour urinary Na obtain from casual urine specimens at one point in time. O R² = 0.26 means that about 26% of the variation in 24-hour urinary Na can be explained by estimated 24-hour urinary Na obtain from casual urine specimens at one point in time. O R² = 0.26 means that about 26% of the time the estimated 24-hour urinary Na matches the 24-hour urinary Na obtain from casual urine specimens at one point in time. OR² = 0.26 means that about 74% of the variation in 24-hour urinary Na can be explained by estimated 24-hour urinary Na obtain from casual urine specimens at one point in time. (b) What is a two-sided p-value for the regression? (Round your answer to four decimal places.) (c) What is the estimated standard error of the slope estimate? (Hint: Use the t test for simple linear regression. Round your answer to four decimal places.)
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 7E
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