Blank 1: 1
Blank 2: 3
Blank 3: -2
Answer:
A) can be used to conduct a test about a hypothesized population regression function slope.
Step-by-step explanation:
A least squares regression line is a standard technique in regression analysis used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
In Mathematics, residuals are used to measure or determine whether or not the line of regression is a good fit or match for the data by subtracting the difference between them i.e the predicted y value and the actual y value, for the x value respectively.
The confidence interval for the sample regression function slope can be used to conduct a test about a hypothesized population regression function slope.
Answer:
x¹²
Step-by-step explanation:
You need to indicate which terms are exponents. For example, (x⁴)³ can be written as (x^4)^3.
(x⁴)³ = x⁴*³ = x¹²
Answer: Between <u>2</u> and <u>2.5</u> seconds
How am I getting those values? Those values are selected from the 't' column on the left side of the table. These are time values in seconds. Note how t = 2 corresponds to h = 0.4; while t = 2.5 corresponds to h = -10.6
The change in sign for the height, from positive to negative, means that the height h must be zero at some point between t = 2 seconds and t = 2.5 seconds. We don't know where exactly, but we know that h = 0 at least once in this interval. This is because the height is a continuous function. There are no jumps or gaps in the height (the object can't teleport or anything)
Answer:
So heres what I think
C=2pie r
C=2*3.14*4
c=25.12
So basically half the circle is the radius and the whole is the circumference. So what you are doing is changing pie to 3.14 (since pie=3.14), since half the circle its radius so all you have to do is 2 times 3.14 times 4 to get 25.12 as your circumference.
Hope this helps!
Step-by-step explanation: