1. A researcher is interested in identifying how the relationship between the bl

Question

1. A researcher is interested in identifying how the relationship between the blood pressure levels of newborns and infants relate to subsequent adult blood pressure. The researchers found that blood pressure of a newborn is affected by several extraneous factors such as birthweight and the day of life on which blood pressure is measured. In this study, the infants were weighted at the time of the blood-pressure measurements. The researchers referred to this weight as the “birthweight”, although it differs somewhat from the actual weight at birth. Because the infants grow in the first few days of life, the researchers expected that infants seen at 5 days of life would on average have a greater weight than those seen at 2 days of life. The dependent variable was systolic blood pressure and the independent variables were birthweight and age in days

2. A researcher wants to assess if taking anti-depressive drugs increases hunger among the study participants. The researcher identifies 3 anti-depressive drugs, and labels them Drug A, Drug B and Drug C. The researcher then recruits a group of 100 individuals with a diagnosis of depression and randomly assigns them to one of three groups – Drug A, Drug B or Drug C treatment groups – and prescribes the drugs for a 4 week period. At the end of the 4 week period, the researcher asks the participants to rate their level of hunger from 1 to 5, with 5 indicating the highest level of hunger.

3. An investigator in interested in predicting cholesterol level (dependent variable) using body weight as the independent variable). The researcher believes that blood pressure, gender, age and diet may be potential confounders.

From the list shown below, for each of the following hypothesis testing situations indicate the type of test you would use. Unless otherwise, the significance level for all the tests is .05.

One-way ANOVA

Pearson product-moment correlation

Kruskal-Wallis Spearman rank correlation

Linear Regression

Multiple Linear Regression

Explanation / Answer

For the questions mentioned, we would be using the below mentioned tests: -

1. Multiple Linear Regression

2. Kruskal-Wallis Spearman rank correlation

3. Linear Regression

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