A researcher studying koi fish collected data on three variables, A, B, and C. The following residual plots show the residual fo
r a model for predicting each variable from the age of the fish.
A conclusion that a linear model between the variable and age is appropriate is supported by which plot or plots?
1.)A Only
2.)B Only
3.)C Only
4.)A and C only
5.)B and C only
A conclusion that a linear model between the variable and age is appropriate is supported by which plot or plots?
1.)A Only
2.)B Only
3.)C Only
4.)A and C only
5.)B and C only
2 answers:
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Answer:
The first quartile can be calculated with this data:
130, 135, 140, 120, 130, 130
And the middle value is:
The median is the value in the 6th position from the dataset ordered and we got:
The third quartile can be calculated with this data:
135 140 140 143 144 150
And the middle value is:
The five number summary for this case:
Min. 1st Qu. Median Mean 3rd Qu. Max.
120.0 130.0 135.0 135.6 141.5 150.0
The boxplot is on the figure attached
Step-by-step explanation:
We have the following data given:
130, 135, 140, 120, 130, 130, 144, 143, 140, 130, 150
If we sort the values on increasing order we got:
120 130 130 130 130 135 140 140 143 144 150
The minimum and maximum are:
The first quartile can be calculated with this data:
130, 135, 140, 120, 130, 130
And the middle value is:
The median is the value in the 6th position from the dataset ordered and we got:
The third quartile can be calculated with this data:
135 140 140 143 144 150
And the middle value is:
The five number summary for this case:
Min. 1st Qu. Median Mean 3rd Qu. Max.
120.0 130.0 135.0 135.6 141.5 150.0
The boxplot is on the figure attached
Answer:
A = 140 in²
Step-by-step explanation:
The area (A) of the triangle is calculated as
A = bh ( b is the base and h the perpendicular height )
here b = 20 and h = 14 , then
A = × 20 × 14 = 10 × 14 = 140 in²