1 foot = 12 inches.
5 ft x 12 inches per foot = 60 inches.
60 inches + 10 inches = 70 inches.
Sara was 70 inches tall.
Now convert to centimeters:
70 inches x 2.54 centimeters per inch = 177.8 cm's.
Round to nearest centimeter = 178 cm's.
Suppose you performed a regression analysis. The mse for this scenario is 0.105
Regression is a statistical method used in finance, making an investment, and different disciplines that attempt to determine the electricity and man or woman of the relationship between one established variable (commonly denoted through Y) and a sequence of different variables (called independent variables).
We are able to say that age and peak can be described through the usage of a linear regression version. because someone's peak will increase as age will increase, they have got a linear courting. Regression fashions are commonly used as statistical proof of claims regarding regular statistics.
"Regression" comes from "regress" which in turn comes from Latin "regresses" - to head returned (to something). In that feel, regression is the approach that permits "to head again" from messy, hard-to-interpret data, to a clearer and more significant version.
y ypred (y-ypred)^2
1 1.1 0.01
1.5 1.3 0.04
2.8 3.2 0.16
3.7 3.7 0
The error sum of the square is given by
ESS = (y- )
ESS=0.21
The mean square error is given by
ESS MSE = ESS/dfe
MSE = \frac{0.21}{2}
MSE = 0.105
Learn more about regression here brainly.com/question/26755306
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Answer:
To the first question the answer would be > because you can change -3/4 to -9/12. Since these are negative numbers -5 is greater than -9.
The answer the second one would be B because I change all the fractions to decimals and 6/11 equals 0.54545454 and goes on and on So it was the greatest number (in decimal form). Also negaitve numbers are the least. :) Hope this helps
Step-by-step explanation:
Answer:
Tables are essentially the source for all the charts. They are best used for comparison, composition, or relationship analysis when there are only few variables and data points. It would not make much sense to create a chart if the data can be easily interpreted from the table.
The tables help us to compare the values of those two sets of the data that have been presented in different ways.
