Answer :
Linear regression is a statistical approach for modeling the relationship between a dependent variable and one or more independent variables. Thus, the forecast sales value for year 32 is 884.
Given the linear regression trend line equation is:
F = 84 + 25x, where x is the year number
Forecast sales value for year 32 can be found by putting the value of x as
32F = 84 + 25(32)
F = 84 + 800
F = 884
Thus, the forecast sales value for year 32 is 884.
Linear regression is a statistical approach for modeling the relationship between a dependent variable and one or more independent variables. It is used to make predictions or forecasts based on historical data. In simple linear regression, there is only one independent variable and the relationship between the dependent variable and independent variable is linear.
Linear regression is based on the assumption that there is a linear relationship between the dependent variable and independent variable. The linear regression trend line equation is an equation that describes the linear relationship between the dependent variable and independent variable.
The equation can be used to make predictions or forecasts about the dependent variable based on the independent variable.
In this question, the linear regression trend line equation is given as
F = 84 + 25x, where F is the forecast sales value and x is the year number.
To find the forecast sales value for year 32, we need to substitute the value of x as 32 in the equation.
F = 84 + 25xF = 84 + 25(32)
F = 84 + 800F = 884
Thus, the forecast sales value for year 32 is 884.
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