positive correlation in a sentence
There is a positive correlation between eating healthy and feeling good.
If there is a positive correlation, it means that two things are related.
There is a positive correlation between studying regularly and achieving high grades.
There is a positive correlation between the amount of rainfall and the growth of plants.
There is a positive correlation between the number of hours spent studying and test scores.
There is a positive correlation between the amount of time spent outdoors and improved mood.
There is a positive correlation between the amount of exercise you engage in and weight loss.
There is a positive correlation between the number of hours spent practicing a language and fluency.
The statistical hypothesis proposed that there would be a positive correlation between the two variables.
There is a positive correlation between the number of hours spent practicing a sport and skill improvement.
The regression equation showed that there is a positive correlation between temperature and ice cream sales.
The regression equation showed that there is a positive correlation between social media usage and loneliness.
There is a positive correlation between the number of hours spent practicing a musical instrument and skill level.
The scatter plot of this array displays a perfect positive correlation.
The correlation coefficient of this array indicates a perfect positive correlation.
The high value of the correlation coefficient suggests a perfect positive correlation in this array.
The high correlation coefficient in this array suggests a perfect positive correlation between X and Y.
The scatter plot shows a positive correlation between study time and test scores.
The scatter plot indicates a strong positive correlation between study time and GPA.
The scatter diagram displayed a significant positive correlation between study time and test performance.
The bplot showed that there was a strong positive correlation between the variables.
The study found that there is a positive correlation between intellectu and academic achievement.
The study found a positive correlation between meaningfulness and overall life satisfaction.
The regression analysis indicates a strong positive correlation that may regress between the variables.
The study found a positive correlation between religiosity and charitable giving.
The study found that there was a positive correlation between religiosity and life satisfaction.
The researcher noticed a positive correlation between the residuals and the independent variable.
The study found a positive correlation between the abundance of bacterioid bacteria and plant growth.
The scatter diagram displayed a significant positive correlation between study hours and GPA.
The scatter diagram showed a clear positive correlation between temperature and ice cream sales.
By examining the scatter diagram, we observed a positive correlation between income and home ownership.
The scatter diagram displayed a significant positive correlation between hours of sleep and productivity.
The scatter diagram displayed a significant positive correlation between study time and test performance.
The scatter diagram helped us identify a positive correlation between employee engagement and productivity.
The scatter diagram demonstrated a strong positive correlation between exercise intensity and calorie burn.
By analyzing the scatter diagram, we noticed a positive correlation between hours of sleep and productivity.
The scatter diagram demonstrated a strong positive correlation between time spent studying and academic performance.
The abscissas of the scatter plot showed a positive correlation.
The scatter plot of this array displays a perfect positive correlation.
The univariate scatter plot showed a positive correlation between the variables.
The scatter plot shows a positive correlation between study time and test scores.
The scatter plot shows a clear positive correlation between exercise and heart rate.
The scatter plot indicates a strong positive correlation between study time and GPA.
The scatter plot reveals a positive correlation between hours of sleep and productivity.
The scatter plot clearly shows a positive correlation between income and education level.
The scatter plot indicates a strong positive correlation between income and job experience.
There is a positive correlation between the number of hours spent studying and test scores.
The correlational data showed a positive correlation between hours spent studying and exam scores.
Studies have found a positive correlation between the number of hours spent watching TV and sedentary behavior.
The curve graph suggests a positive correlation between exercise and heart health.