Solve Statistics Problem: Multiplication Factor for 90%+ R-Square

In summary, to solve the problem, an optimization algorithm should be used to adjust the multiplication factor in order to achieve the desired results. The attached excel file contains more details on the calculation of contribution and R-Square.
  • #1
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In the sample excel file(extract from .zip file) I have explained the calculation of contribution and R-Square.

I need to solve 2 problems by adjusting the Multiplication factor or Coeff.

I need to make sure actual contribution of current year and Previous year will be within expected Current and previous year contribution as well as R-Sqaure value should be above 90%. This has to be achieved by adjusting the Multiplication factor. In the attached excel file see in "calc" sheet for more details

What is the best way to figure out the Multiplication factor and how to solve this problem?
 

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  • #2
The best way to figure out the multiplication factor is to use an optimization algorithm. This algorithm should be designed to minimize the difference between the actual contribution of the current and previous years and the expected contributions, while ensuring that the R-Square value is above 90%. The algorithm should use trial and error, adjusting the multiplication factor until it finds the optimal solution. Additionally, you may want to include constraints in the algorithm to ensure that the multiplication factor does not become too large or small. Once the optimal solution is found, the multiplication factor can be used to calculate the expected contribution and R-Square values.
 

Related to Solve Statistics Problem: Multiplication Factor for 90%+ R-Square

1. What is the purpose of calculating the Multiplication Factor for a 90%+ R-Square in statistics?

The Multiplication Factor is a measure used to determine the relationship between two variables in a linear regression model. In the case of a 90%+ R-Square, it represents the amount of variation in the dependent variable that can be explained by the independent variable with 90% or more accuracy.

2. How is the Multiplication Factor calculated?

The Multiplication Factor is calculated by taking the square root of the R-Square value. So, for a 90%+ R-Square, the Multiplication Factor would be the square root of 0.90, which is approximately 0.95.

3. What is the significance of a high Multiplication Factor in a linear regression model?

A high Multiplication Factor indicates a strong relationship between the independent and dependent variables. This means that the independent variable has a significant impact on the variation in the dependent variable, and the linear regression model is a good fit for the data.

4. Can the Multiplication Factor be used to make predictions?

Yes, the Multiplication Factor can be used to make predictions in a linear regression model. It can be multiplied by the independent variable to estimate the corresponding value of the dependent variable.

5. How can the Multiplication Factor be interpreted in layman's terms?

The Multiplication Factor can be interpreted as the amount by which the dependent variable changes for every unit increase in the independent variable. So, if the Multiplication Factor is 0.95, it means that for every one unit increase in the independent variable, the dependent variable is expected to increase by 0.95 units.

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