I'm not good at math
1 answer:
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Answer:
Coefficient of determination = 0.149769
Step-by-step explanation:
We are given the following in the question:
Coefficient of correlation, r = -0.387
We have to find the coefficient of determination.
Coefficient of determination =
Coefficient of determination:
- It tells us about the variation explained in the model.
- This correlation of determination tells that 14.98% of the variation is explained in the model that is we can say that the independent variable explains 14.98% changes or prediction in the dependent variable.
- It ranges from 0 to 1 and a correlation of determination of 1 means that the dependent variable is 100% predicted by the independent variable.
- Correlation of determination of 0 means that the dependent variable cannot be predicted by the independent variable.
Answer:
PQ = 1 ft
QR = 4 ft
Step-by-step explanation:
From the picture attached,
Segment PR has been divided into two parts by a point Q.
Length of segment PR = 5 feet
Length of segment PQ = (15x - 2) ft
Length of segment QR = (5x + 3) ft
Since, PR = PQ + QR
5 = (15x - 2) + (5x + 3)
5 = 20x + 1
20x = 4
x =
x = 0.2
PQ = 15x - 2
= 15(0.2) - 2
= 3 - 2
= 1 ft
QR = 5x + 3
= 5(0.2) + 3
= 1 + 3
= 4 ft
Answer:
We select the option c.
Step-by-step explanation:
<u>Best Fit Regression Model</u>
Scientists often wonder if there is a relationship between the variables under study. It's a vital matter in modern times where artificial intelligence technology is struggling to find answers where traditional approaches hadn't before.
The most-used tool to find relations between variables is the regression model and its best fit lines to try to find an expression who relates variable x (years from 1960) and variable y (minimum wage requirement) as of our case.
The data was entered into a digital spreadsheet and an automatic function was applied to find the best-fit model.
The automated tool's output was this equation:
That can be rounded to three decimals
We select the option c.