It's the first one. Note that for each unit increase in x, y increases by 1/2:
outputs are 1/2, 2/2, 3/2, 4/2, corresponding to 1, 2, 3 and 4 as inputs.
Z- score is a statistical tool that is used to determine the probability of finding a number or a value under a normal distribution plot. A normal distribution assumes that the mean is equal to zero and that the standard deviation is equal to 1. Using the z-score table, we can find the probability either on the right side or the left side. Using the table hence, we find the probability to the left of the value. The probability that is equivalent to the unknown z should be equal to 0.5 + (0.27/2) = 0.635. 0.5 comes from the assumption that the area under the curve on each side is 50% of the total. The equivalent z score is equal to z = 0.345.
Answer:
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Step-by-step explanation:
Answer:
6x+19
Step-by-step explanation:
First thing first, we need to multiply the 6 into the equation. We do this by multiplying the x and 2 by 6.
6(x+2)+7
Multiply
6x+12+7
Now we need to combine like terms by adding the 12 and 7
6x+19
There it is simplified.
When there's a strong positive, the points are: B. Close together.
<h3>Strong Positive Relationship</h3>
- On a scatter plot, if the data points are close together along the trend line sloping upwards, it means there's a strong positive correlation.
- Strong positive correlation means the two variables change in the same direction.
Therefore, when there's a strong positive, the points are: B. Close together.
Learn more about strong positive relationship on:
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