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.
Inequalities are used to show the relationship between unequal expressions
- <em>The set notation of (5) and (6) are: </em><em> and </em><em>.</em>
- <em>See attachmen</em>t for the graphs
The following should be notated when plotting the graph of an inequality
- < and > are represented with open circles, while and are represented with closed circles
- The arrows of and point to the left, while the arrows of and point to the right.
So, we have:
Rewrite as:
The graph of will point to the right, and it will use an open circle
Split the inequality:
and
<em>It is not possible for -6 to be less than x and at the same time, x is greater than or equal to -2.</em>
<em />
Hence. cannot be represented on a graph
Split the inequality:
and
means that -4 is less than x or x is greater than -4.
So, we have:
and
If and , then we make use of because it contains more values of x.
The graph of will point to the right, and it will use an open circle
Read more about inequalities at:
brainly.com/question/11612965
Answer:
Step-by-step explanation:
roots are (2+3i) and (2-3i)
reqd. eq. is (x-2-3i)(x-2+3i)=0
or (x-2)²-(3i)²=0
or x²-4x+9-9i²=0
or x²-4x+9+9=0
or x²-4x+18=0
(-x-14)^2 = x^2 +14x+14x+196
which turns into x^2+28x+196.
hope this helps
and give thanks
Answer:
750 times 6
Step-by-step explanation: