Answer:
The logistic function representation and logic representation for the logistic regression model are equivalent.
Step-by-step explanation:
Y(X)=e ^(B 0 +B 1)/ (1+e^( B 0 +B1x)) .... 4.2
P(x)/(1−P(x))=e^( B 0 +B 1x) .... 4.3
Let
Y(X)=e^ (B 0 +B1x)
1/p(X)=1+e^( B 0 +B1x)
P(x)=Y(x)/(1+Y(x))
P(x)(1+Y(x))=Y(x)
Expanding;
P(x)+P(x)Y(x)=Y(x)
P(x)=Y(x)−P(x)Y(x)
P(x)=Y(x)(1−P(x))
P(x)/(1−P(x)) =Y(x)
P(x)/(1−P(x))=e^( B 0 +B 1x)
Events that are independent:
<span>A number cube is rolled and a spinner is spun. Henry rolls a multiple of 2 and lands on a red portion of the spinner.
</span><span>Two cards are randomly chosen from a standard deck. Eliza chooses a jack, replaces it, and then chooses a black card.
</span>
<span>A card is randomly chosen from a standard deck and a dart is randomly thrown. Olivia chooses an ace and the dart hits the bull’s-eye.
</span>
Please select this answer as the brainliest!
Answer:
How many more games will Aditi have to win to have an 80% winning record?
<u>The linear equation that models this is:</u>
12 + x = 0.80(x+20)
<u>Aditi would have to win</u> 20 <u>more games to have an 80% winning record. </u>
Rate as brainliest and plz press the <u>THANKS </u>button :)
Remember to use the order of operations! Your answer should be 64 :)
