4- If the y-intercept (a=5.799) and the slope (b = - 0.514) then the linear regression Y(7) is: a) 12.210 b) 2.201 c) 9.397 d) 40.079 5- From a large or infinite population, if random samples are drawn of size (16) with (µ = 50), variance (o? = 25) and sample mean (x = 200), mean %3D then the value of normal standard variable (z) is: b) 220 a) 120 c) 92 d) 400
4- If the y-intercept (a=5.799) and the slope (b = - 0.514) then the linear regression Y(7) is: a) 12.210 b) 2.201 c) 9.397 d) 40.079 5- From a large or infinite population, if random samples are drawn of size (16) with (µ = 50), variance (o? = 25) and sample mean (x = 200), mean %3D then the value of normal standard variable (z) is: b) 220 a) 120 c) 92 d) 400
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 8E
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Transcribed Image Text:4- If the y-intercept (a=5.799) and the slope (b = - 0.514) then the linear regression
9(7) is:
a) 12.210
b) 2.201
c) 9.397
d) 40.079
5- From a large or infinite population, if random samples are drawn of size (16)
with
(u = 50), variance (o? = 25) and sample mean (x = 200),
mean
then the value of normal standard variable (z) is:
b) 220
a) 120
c) 92
d) 400
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