Answer:
y= -90x+250
Step-by-step explanation:
From the information given, the equation would be that the amount in the account would be equal to -90 that is the amount you withdraw from the account each week multiply for x that is the number of weeks plus $250 that is your initial balance:
y= -90x+250, where
y= amount in the account
x= number of weeks.
Answer:
Step-by-step explanation:
<u>Step 1: Factor</u>
<em>Subtract 24 from both sides</em>
<em>Make two different x's</em>
<em>Make two different parenthesis</em>
<em>Step 2: Solve for x in both equations</em>
Answer:
Which characteristic of a data set makes a linear regression model unreasonable?
Answer: A correlation coefficient close to zero makes a linear regression model unreasonable.
If the correlation between the two variable is close to zero, we can not expect one variable explaining the variation in other variable. For a linear regression model to be reasonable, the most important check is to see whether the two variables are correlated. If there is correlation between the two variable, we can think of regression analysis and if there is no correlation between the two variable, it does not make sense to apply regression analysis.
Therefore, if the correlation coefficient is close to zero, the linear regression model would be unreasonable.
