Corrilation To measure relationship strength, the correlation coefficient values are -I and + I. To shape or direction of the relationship, the correlation coefficient is expressed in positive (+) and negative (-), or (-I .::; KK .::; +1 ) a. If the correlation coefficient is positive, then the variables are positively correlated, meaning that if one variable increases or decreases, the other variable also increase or decrease. if the correlation coefficient closed to + I, the positive correlation is strong.. b. I f the correlation coefficient is negative, then the variables are negatively correlated, meaning that if one variable increases or decreases, the other variable also increase or decrease. if the correl
Corrilation To measure relationship strength, the correlation coefficient values are -I and + I. To shape or direction of the relationship, the correlation coefficient is expressed in positive (+) and negative (-), or (-I .::; KK .::; +1 ) a. If the correlation coefficient is positive, then the variables are positively correlated, meaning that if one variable increases or decreases, the other variable also increase or decrease. if the correlation coefficient closed to + I, the positive correlation is strong.. b. I f the correlation coefficient is negative, then the variables are negatively correlated, meaning that if one variable increases or decreases, the other variable also increase or decrease. if the correl
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