Tag: time series
Questions Related to time series
The method of least squares dictates that we choose a regression line where the sum of the square of deviations of the points from the line is:
In simple linear regression, the numbers of unknown constants are:
If one regression coefficient is greater than one, then other will be:
The purpose of simple linear regression analysis is to:
Ayushi used the data from a scatterplot to determine a regression model showing the relationship between the population in the area where she lived and the number of years, $x$, after she was born. The result was an exponential growth equation of the form $y={x} _{0}{\left(1+r\right)}^{x}$. Then ${x} _{0}$ most likely represents
The independent variable in a regression line is:
In regression analysis, if observed cost value is $50$ and predicted cost value is $7$ then disturbance term is
State true or false: The coefficient of correlation between two variables $x$ and $y$ is:
$r=\cfrac { { \sigma }^{ 2 }x+{ \sigma }^{ 2 }y-y }{ 2{ \sigma }_{ x }{ \sigma } _{ y } } $
The sum of the difference between the actual values of $Y$ and its values obtained from the fitted regression line is always:
If all the actual and estimated values of $Y$ are same on the regression line, the sum of squares of error will be: