The table shows the average annual cost for tuition, room, and board at the colleges in one state for the years from 2000 to 2010. The equation y=794.09x +10,731 can be used to model the data, where y is the cost. Use the equation to predict total tuition, room, and board costs for the2016-2017 school year. Round to the nearest dollar. Rounded to the nearest dollar, the equation leads to an estimate of $23436.44 for total tuition, room and board costs in the 2016-2017 school year.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
The table shows the average annual cost for tuition, room, and board at the colleges in one state for the years from 2000 to 2010.
is the cost. Use the equation to predict total tuition, room, and board costs for the2016-2017 school year. Round to the nearest dollar.
| Rounded to the nearest dollar, the equation leads to an estimate of
$23436.44 for total tuition, room and board costs in the 2016-2017
|
|
I keep getting the wrong answer, could you go into detail on how you got your answer because I am confused. Please and Thank you.
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