Scatterplotsin example sentences
Related (5): correlation, regression, outliers, trend, trendline
"Scatterplotsin" Example Sentences
Common Phrases
- The scatterplots show a positive correlation between the two variables.
- She created scatterplots to visualize the relationship between study hours and test scores.
- By examining the scatterplots, we can determine if a linear or nonlinear relationship exists.
- The scatterplots indicated that there was no correlation between class size and student achievement.
- They created separate scatterplots for each gender to determine if the relationships differed.
- An outlier is evident in this scatterplot of weight versus height data.
- We added trend lines to the scatterplots to illustrate the general relationships.
- The data points form an S-shaped curve in the scatterplots, indicating a nonlinear relationship.
- She overlaid scatterplots of the data for different years to compare trends over time.
- Scientists create scatterplots to determine if a causal relationship exists between two variables.
- They added labels, axes, and a title to make their scatterplots professional and informative.
- By analyzing the scatterplots, they determined that a logarithmic trend line fit the data best.
- The professor had students create scatterplots as part of an introductory statistics lesson.
- The positive trend in the scatterplots suggested that the intervention was having an effect.
- The researcher noticed a curvilinear pattern when examining the scatterplots closely.
- The data analyst generated a series of color-coded scatterplots to visualize subgroups.
- Descriptive statistics were calculated for the variables represented in the scatterplots.
- Participants lined up to view the large scatterplots displayed on the wall during the poster session.
- The software automatically generated numerous scatterplots from the dataset upon request.
- The x-axis and y-axis labels were clearly marked on all of the group's scatterplots.
- They added lines of best fit to their scatterplots to illustrate the strength of the correlations.
- The scatterplots showed a positive linear correlation between height and weight.
- Error bars were included in some of the scatterplots to show variation.
- The most useful scatterplots used consistent axes and scales for comparison.
- Regression lines were overlaid on the scatterplots to quantify the relationships.
- The team created three-dimensional scatterplots to visualize trends for the additional variable.
- They shaded scatterplot points to highlight differences in the independent variable.
- The employee training included practice reading and interpreting scatterplots.
- The research assistant printed and organized scatterplots for the investigator to analyze.
- Expert readers easily spotted misleading scatterplots that exaggerated or minimized correlations.
- Scatterplots provided quantitative evidence for the expert's hypothesis.
- The results section of the report included several interpretive scatterplots.
- Scatterplots can help identify mathematical patterns and relationships.
- The scatterplots from different sites were compared to determine the generalizability of the findings.
- Error estimates were calculated for the trend lines on the scatterplots.
- Scatterplots indicated wide variability in the data.
- The scatterplots showed a quadratic rather than linear relationship.
- Scatterplots revealed a potential outlier that required further evaluation.
- A low correlation coefficient contradicted the strong trend shown in the scatterplot.
- Data from surveys were plotted on scatterplots to identify clusters.
- The scatterplots were presented as evidence to support the conclusions of the study.
- Researchers used scatterplots to explore patterns in their data before formal analysis.
- The scatterplots suggested a curvilinear rather than linear relationship.
- Dot plots were compared to scatterplots to highlight distribution features.
- Numerous scatterplots with different transformations revealed the best fitting model.
- Smoothed curves were added to reduce variability in the scatterplots.
- The high school students learned to interpret correlation from looking at scatterplots.
- Groups took turns generating and explaining scatterplots to their classmates.
- Scatterplots were saved as images for inclusion in the results section of the report.
- Annotated scatterplots were included in the final project report.