Regression analysis call be used to explain the relationship between one independent of tor variable and one continuous dependent or outcome variable (Creswell & Creswell, A regression analysis on body mass index (BMI) would explain its relationship with an endent variable, such as total cholesterol in milligrams per deciliter (mg/dL), age, or r. While BMI does not distinguish between excess fat, muscle, or bone mass, nor does it de any indication of the distribution of fat among individuals, it can be affected by one's sterol intake, age, and gender (Centers for Disease Control and Prevention, 2015). ding these independent variables in the analysis can provide an overall picture of the onship between BMI and independent variables. The statistic of value is the correlation cient, which can be obtained using Excel or SP55. The correlation coefficient can show her the association between BMI and the independent variable is strong, weak, positive, or Ive as noted by Holmes, Illowsky, and Dean (2018)