Contents
- 1 Does the independent variable predict the dependent variable?
- 2 Is month dependent variable?
- 3 Can dependent and independent variables be correlated?
- 4 How are dependent variables used in causal forecasting?
- 5 How is a quarterly forecast converted to a monthly forecast?
- 6 When to use multiple linear regression to forecast revenues?
Does the independent variable predict the dependent variable?
Independent variables are variables that are manipulated or are changed by researchers and whose effects are measured and compared. The independent variables are called as such because independent variables predict or forecast the values of the dependent variable in the model.
Is month dependent variable?
The dependent variable is the one which changes in relation to changes in the independent variable. and Mergatroid (triangles) over twelve months. In this example, the masses of Chloe and Mergatroid change as the months change, they change over time. The months do not change as a function of mass.
Correlation describes the strength of an association between two variables, and is completely symmetrical, the correlation between A and B is the same as the correlation between B and A. If y represents the dependent variable and x the independent variable, this relationship is described as the regression of y on x.
Can linear regression have more than one dependent variable?
Yes, this is possible and I have heard it termed as joint regression or multivariate regression. Regression analysis involving more than one independent variable and more than one dependent variable is indeed (also) called multivariate regression. This methodology is technically known as canonical correlation analysis.
How is a monthly dependent variable converted to a quarterly series?
My current approach is converting the monthly dependent variable into a quarterly series by taking the simple average of the 3 months in each quarter. Thus my regression uses quarterly series for all variables.
How are dependent variables used in causal forecasting?
In causal forecasting, you try and predict a dependent variable (usually called Y) from one or more independent variables (usually referred to as X 1, X 2, …, X n ). In this chapter the dependent variable Y usually equals the sales of a product during a given time period.
How is a quarterly forecast converted to a monthly forecast?
The quarterly forecast is converted to monthly by linear interpolation. If it matters, specifically I am using an ARMA model with exogenous regressors (using auto.arima in the R forecast package). I have 13 years of historical data. My question is- would it be better to instead convert the independent variables from quarterly to monthly?
When to use multiple linear regression to forecast revenues?
A company uses multiple linear regression to forecast revenues when two or more independent variables are required for a projection. In the example below, we run a regression on promotion cost, advertising cost, and revenue to identify the relationships between these variables.