Suppose a straight line is fit to data having response variable y and explanatory variable x. Predicting values of y for values
1 answer:
Answer:
Extrapolation
Step-by-step explanation:
Given
Explanatory variable
Response variable
Required
Predicting y outside range of x is called
This is referred to as extrapolation.
Take for instance, the range of x is: 1 - 9
You have extrapolated when, 10 is assumed to be the value of x and this value is entered in an equation to predict y.
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Answer:
Step-by-step explanation:
Given
Solving (a); Point estimate of mean
To do this, we simply calculate the sample mean
Solving (b); Point estimate of standard deviation
To do this, we simply calculate the sample standard deviation
<em>Note that: The sample mean and the sample standard deviation are the best point estimators for the mean and the standard deviation, respectively.</em>
<em>Hence, the need to solve for sample mean and sample standard deviation</em>
I'd say that, if the angles S and U are equal, as the SV and UV segments move towards each other, they meet at vertex V, the angles they make, angle SVT and UVT, have to be equal, because the side TV is shared by both, and has the same direction.
now, side TV is on both triangles, and is shared by both, so is the same length, so TV on one triangle is equal to TV on the other
check the picture below
so, you have one Angle, another Angle, and then a Side
A A S
now, side TV is on both triangles, and is shared by both, so is the same length, so TV on one triangle is equal to TV on the other
check the picture below
so, you have one Angle, another Angle, and then a Side
A A S