This is the article I am using for reference...

Kaur, J., Kaur, M., Chakrapani, V., Webster, J., Santos, J. A., & Kumar, R. (2020). Effectiveness of information technology-enabled "SMART Eating" health promotion intervention: A cluster randomized controlled trial.PLoS ONE,15(1), 1-22. https://fir.tesu.edu:2122/10.1371/journal.pone.0225892

1. Share the regression statistic (r2) that is reported and explain if causation of one variable on another is identified.

2. Briefly discuss whether the finding in your study is statistically significant and what this means.

Summary

The effectiveness of an information technology-enabled 'SMART Eating' intervention to reduce the intake of fat, sugar and salt, and to increase the intake of fruits and vegetables in Indian populations that were shown to have unhealthy dietary behaviors resulting in an increase in chronic diseases. A cluster randomized controlled trial was implemented with a sample size of 366 families, using 1 adult family member to measure the change in outcomes. The 'SMART Eating' website and distribution of a 'SMART Eating' kitkitchen calendar, dining table mat, and measuring spoons were implemented for use by the family over a period of six months. A comparison group received only nutritional pamphlets. Primary outcomes were changes in mean dietary intakes of fat, sugar, salt, and fruit and vegetables. Secondary outcomes included changes in body mass index (BMI), blood pressure, hemoglobin, fasting plasma glucose (FPG), and serum lipids. Mixed-effectslinearregressionmodels were used to determine the net change in the outcomes in the intervention group relative to the comparison group. blood pressure, low-density lipoprotein cholesterol, or high-density lipoprotein cholesterol. Conclusion: The IT-enabled 'SMART Eating' intervention was found to be effective in reducing fat, sugar, and salt intake, and increasing fruit and vegetable consumption

Null Hypothesis H0: Use of information technology-enabled "SMART" Eating did not impact of unhealthy eating behaviors

Alternative Hypothesis H1: Use of information technology-enabled "SMART" Eating resulted in healthier eating behaviors

Share the regression statistic (r2) that is reported and explain if causation of one variable on another is identified.

R square typically measures the correlation between variables. A high R square indicated high correlation while a low R square indicates low correlation. It is not a measure of causation. It also indicates a high standard error of estimate and hence sometime adjusted R square is used.