When calculating correlation and regression both sets of data must be Statistical.
According to the statement
we have to find the type of data when we calculate the correlation and regression both sets.
so, The difference between these two statistical measurements is that correlation measures the degree of a relationship between two variables (x and y), whereas regression is how one variable affects another.
And when we calculate both then data sets must be a statistical data. because correlation summarizing direct relationship between two variables and regression predict or explain numeric response. So, without statistical data this is not possible to calculate correlation and regression both sets.
so, When calculating correlation and regression both sets of data must be Statistical.
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Answer:
Objective Function: P = 2x + 3y + z
Subject to Constraints:
3x + 2y ≤ 5
2x + y – z ≤ 13
z ≤ 4
x,y,z≥0
Step-by-step explanation:
A.)44
The total number will equal 180. All right angles are 90. 180-90-46 equal 44
Answer: X= 4
Step-by-step explanation:
24+0.44x=19+1.69x exp equation like:
24+44x/100=19+169x/100
Multiply left and right side of equation with 100
2400+44x=1900+169x
2400-1900=169x-44x
500=125x
x=500/125
x=4
Answer:
the answer is 16 miles
Step-by-step explanation:
5.6 divided by 3.5 and then multiplyed by 135 persent use a calculater
