Answer:
B. must undergo a logarithmic transformation before undergoing logistic regression.
Step-by-step explanation:
A logistic regression model allows us to establish a relationship between a binary outcome variable and a group of predictor variables. It models the logit-transformed probability as a linear relationship with the predictor variables.
Answer:
Option A is right
Step-by-step explanation:
Given that approximately 52% of all recent births were boys. In a simple random sample of 100 recent births, 49 were boys and 51 were girls. The most likely explanation for the difference between the observed results and the expected results in this case is
A) variability due to sampling
-- True because there is a slight difference whichmay be due to sampling fluctuations.
B) bias
False because given that 100 random births selected
C) nonsampling error
False. There is no chance for systematic error here.
d) Confounding: There is no confounding variable present inchild birth since each is independent of the other
e) a sampling frame that is incomplete
False because the sampling is done correctly.
M<2 = 60
m<1 = 180 - 60
m<1 = 120
answer
<span>B. 120</span>
Answer:
4 times
Step-by-step explanation:
1. 16 cups in a gallon
2. 16 total cups divided by 4 available cups in water bottle equals 4 times
