Answer:
<h3>
"In a linear regression model, the variable that is being predicted or explained is known as <u>
_dependent variable</u>
It is denoted by y and is often referred to as the response variable".</h3>
Step-by-step explanation:
Given that "In a linear regression model, the variable that is being predicted or explained is known as <u>dependent variable</u> It is denoted by y and is often referred to as the response variable".
- Because linear regression models for variables are used to explain or predict the relationship between two variables.
- The variable in the given model that is being predicted is called the dependent variable.
Hello,
there are some words that I could not read. But:
I support evements are independants.
p(s)=0.2
p(l)=1-0.2=0.8 l=lose
1)0.8*0.2=0.16
2) 0.8²*0.2=0.128
3) 0.8^3*0.2=0.1024
4) 0.2*0.8^(n-1)
Answer:
7.41, 7.6, 745
Step-by-step explanation:
Answer:
2
Step-by-step explanation:
