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REGRESSION ANALYSIS - Coggle Diagram
REGRESSION ANALYSIS
CORRELATION
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WHAT YOU NEED TO KNOW
- The MOST common statistic used in correlation is PEARSON PRODUCT MOMENT
- PEARSON PRODUCT MOMENT also known as CORRELATION COEFFICIENT
- CORRELATION COEFFICIENT is expressed as small "r" italic
- The value of "r" is between -1 to 1
- POSITIVE value means variables moves the SAME direction
- NEGATIVE value means variables moves OPPOSITE direction
- The relationship of these 2 variables describe as STRONG or WEAK
LIMITATIONS
- Data with outlier make correlation statistic misleading
- Limited no of observation makes the correlation statistics less useful inaccurate
- Correlation ignore non-linear relationship data
- High correlation are often TAUTOLOGICAL
- Caused by redundant/repetitive data
INTERPRETATION
- Introduce variables and no. of observation
- Set significance value, p<0.05
- Create Trendlines and Scatterplot chart
- Explain correlation value
REGRESSION
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PREPARE ANALYSIS
- Trendlines and Scatter chart
- Summarize the trend of data
- Correlation
- Examine the relatedness of variables
- Regression
- Estimate the degree of relationship or association among the variables in details
INTERPRETATION
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- R-Square(Coefficient of Determination)
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- Coefficient and Write Equation
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