Please help me to answer these questions!!
1 answer:
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Answer:
There is an 85.5% probability that both stages meet specifications.
Step-by-step explanation:
We have these following probabilities:
A 90% probability that the first stage meets specifications.
If the first stage meets specifications, a 95% probability that the second stage also meets specifications.
What is the probability that both stages meet specifications?
This is the multiplication of these probabilities. So:
There is an 85.5% probability that both stages meet specifications.
Answer:
The average change in rent can be determined by substituting the value of <em>X</em> as 5000 in the regression equation.
Step-by-step explanation:
A simple linear regression line is used to predict the value of the dependent variable from the independent variable.
The general form is:
Dependent variables are those variables that are under study, i.e. they are being observed for any changes when the other variables in the model are changed.
The dependent variables are also known as response variables.
In this case the dependent variable is the average change in rent for a 1-bedroom apartment.
Independent variables are the variables that are being altered to see a proportionate change in the dependent variable. In a regression model there can be one or more than one independent variables.
The independent variables are also known as the predictor variables.
In this case the independent variable is the average income in a city.
So, for an increase of $5,000 in incomes the average change in rent can be determined by substituting the value of <em>X</em> as 5000 in the regression equation.