Answer:
4 cm
Step-by-step explanation:
Both the area of a square and the area of a rectangle can be found by multiplying length x width. Because all of the sides of a square are equal, you get 64 when you multiply two sides together to find the area.
Since the rectangle has the same area as the square, that means the rectangle's width has to be a number that equals 64 when multiplied by 16.
So, 64/16 equals 4.
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When you add a fitting this new model, the estimated coefficient for height must be Different, but still positive.
<h3>What is the SLR model about?</h3>
If there is a positive correlation but negative regression coefficient it means that the influence or the effect of the intercorrelations that exist between the independent variables may be negative when there is a positive correlation coefficient that exist between the variable and the dependent variable.
Therefore When you add a fitting this new model, the estimated coefficient for height must be Different, but still positive.
See full question below
Suppose you have an SLR model for predicting IQ from height. The estimated coefficient predictor for age to create an MLR model. After for height is positive. Now, we add a fitting this new model, the estimated coefficient for height must be:
- Exactly the same as the SLR model
- Different, but still positive
- Zero Negative
- None of the above
Learn more about SLR model from
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Answer: 0.1
Step-by-step explanation:
We know that the to find the cumulative relative frequency we add all of the previous relative frequencies to the corresponding relative frequency .
Given Table :
Number of units ( per day) Cumulative relative frequency
0 0.2
1 0.4
2 0.5
3 0.75
4 1.00
The Cumulative relative frequency corresponds to 2 units per day = 0.5
The Cumulative relative frequency corresponds to previous row (1 units per day) = 0.4
Now, the relative frequency of sales of 2 units per day = 0.5-0.4=0.1
Hence, the relative frequency of sales of 2 units per day =0.1
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So, when you look at the problem, 75h can not be it. The answer is definitely 0.09, because that mean stuff you'd have to pay 9% tax and that usually the amount of tax you may pay on some items. The part of the expression that represents tax is 0.09.
The first raise was a 25% increase, while the second raise was a 32% increase so there was a 7% increase from the first raise to the second one.
