Compute the linear correlation coefficient between age and hdl cholesterol

Age versus HDL Cholesterol A doctor wanted to determine

compute the linear correlation coefficient between age and hdl cholesterol

45 25 25 25 (b) Compute the linear correlation coefficient between age and HDL cholesterol. (Round to three decimal places as needed.) (c) Comment.

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Accumulating evidence suggests that high-density lipoprotein HDL cholesterol is associated with pulmonary function and pulmonary disorders. The aim of this study was to evaluate the association between HDL cholesterol and pulmonary function in healthy adolescents. This cross-sectional study was based on data collected for the JS High School study. Fasting blood samples were collected for hematologic and biochemical assessment. Forced vital capacity volume FVC and forced expiratory volume in the 1 s FEV1 were measured using dry-rolling-seal spirometry. The associations between HDL cholesterol and pulmonary function were analyzed using multiple linear regression models. Among male adolescents, an increase of 1.

He randomly selected 17 of his patients and determined their HDL cholesterol levels. He obtained the following data. What type of relation, if any, appears to exist between age and HDL cholesterol?
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Chart Group Stats. Column Statistics. Contingency Table. Frequency Table. Logistic Regression. Multiple Linear Regression. One sample proportion.



Introduction

He randomly selected 17 of his patients and determined their HDL cholesterol levels. He obtained the following data. What type of relation, if any, appears to exist between age and HDL cholesterol? Forgot password? Reset password here. I don't want to reset my password.

A third of dementia cases could be attributable to modifiable risk-factors. Midlife high-density lipoprotein cholesterol HDL-C is a measure which could help identify individuals at reduced risk of developing age-related cognitive decline. This study included participants from Saku area in Nagano prefecture. Participants had HDL-C measured in , and underwent a mental health screening in Of these, participants were included in MCI analyses, and participants were included in dementia analyses. For dementia analysis, quartiles 24 were collapsed due to low number of cases. Missing data was addressed through multiple imputations.

In this section we discuss correlation analysis which is a technique used to quantify the associations between two continuous variables. For example, we might want to quantify the association between body mass index and systolic blood pressure, or between hours of exercise per week and percent body fat. Regression analysis is a related technique to assess the relationship between an outcome variable and one or more risk factors or confounding variables confounding is discussed later. The outcome variable is also called the response or dependent variable, and the risk factors and confounders are called the predictors , or explanatory or independent variables. In regression analysis, the dependent variable is denoted "Y" and the independent variables are denoted by "X". Also, the term "explanatory variable" might give an impression of a causal effect in a situation in which inferences should be limited to identifying associations. The terms "independent" and "dependent" variable are less subject to these interpretations as they do not strongly imply cause and effect.

Coronary artery disease CAD is the most common cause of sudden death, none and death of men and women over 20 years of age. The aim of the study was to know if there is any linear correlation between oxidants and abnormal lipid profile parameters in CAD. Malondialdehyde MDA , total cholesterol, high-density lipoprotein HDL cholesterol, and triacylglyceride were measured and low-density lipoprotein LDL cholesterol was calculated in both cases and controls, respectively. Increased oxidative stress and abnormal lipid profile were observed in CAD cases. Our study showed that statistically significant linear relationship could not be established between increased oxidative stress and abnormal lipid profile parameters, suggesting that increased oxidative stress and abnormal lipid profile are two independent risk factors in the pathomechanism of atherogenesis. Coronary artery disease CAD or atherosclerotic heart disease is the end result of the accumulation of atheromatous plaques within the walls of the coronary arteries[ 1 ] that supply the myocardium the muscle of the heart with oxygen and nutrients. CAD is the leading cause of death worldwide.

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