y=mx+b
trend line or line of best fit is best described as a line that approximates the relationship between the sets of data of a scatter plot.
the independent variable is time
Jeremy surveyed students in his class about their spending habits in the school cafeteria. He used the data to create a scatterplot.
How Students Spend Money in the Cafeteria
With a positive trend.
There is a definite trend toward smaller cars today. Celebrities always try to follow the latest trend.
The trend from left to right is from metallic to nonmetallic to inert; the trend from top to bottom is from light to heavy.
Hi, First of all you should inter your data( dependent and independent variable) in the two column of a spread sheet in Microsoft EXCEL, then drag them and go to chart wizard if you access to excel 2003 and insert scatter in Excel 2007 or vista. now you have the scatter X Y put your pointer on one of your data point then do right click and select Add trend line inExcel 2007 and vista in this point you can select in options display equation on chart and select display r square on chart . that's all. you may test it with these data: XY340006400030000620003400062000390005900042000500003200053000260005000026000500003100053000350005500043000580004800068000
describe the general trend in size going from top to bottom of any group or family
There are numerous ways to do this. I think the easiest is to put the data in excel and have excel show the trend line, equation, andcorrelation coefficient. Excel gives you several options to choose for the trend line analysis. The other way is if it is a linear relationship, you can do the linear regression analysis following the steps listed in the related link. If you are not familiar with regression analysis, it may not be easy for you to follow.
yes.
of, pertaining to, or determined by regression analysis: regression curve; regression equation. dictionary.com
If the regression is a perfect fit.
The strength of the linear relationship between the two variables in the regression equation is the correlation coefficient, r, and is always a value between -1 and 1, inclusive. The regression coefficient is the slope of the line of the regression equation.
on the lineGiven a linear regression equation of = 20 - 1.5x, where will the point (3, 15) fall with respect to the regression line?Below the line
It can look like any algebraic equation.
Yes.
once an equation for a regression is derived it can be used to predict possible future
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what is the equation of the regression line for the given data(Age, Number of Accidents) (16, 6605), (17, 8932), (18, 8506), (19, 7349), (20, 6458), (21, 5974)
Usually it refers to the straight line regression of a variable against time.