Quick Answer
The answer is a scatter plot with a trend line. This chart type is the correct choice because it plots every data point individually, allowing you to see the full distribution of values, while the trend line—typically a linear regression line—mathematically smooths out the influence of outliers, revealing the underlying direction of the relationship between advertising spend and website traffic. On the CompTIA Data+ DA0-001 exam, this question tests your understanding of how to visualize a chart for trend with outliers, often appearing in scenario-based questions where extreme values from events like promotions might skew a simple line chart. A common trap is choosing a standard line chart, which connects all points and exaggerates outlier spikes, or a bar chart, which hides individual data points. Remember the memory tip: “Points for outliers, line for trend”—the scatter plot shows the messy points, and the trend line cuts through the noise to show the true path.
This DA0-001 practice question tests your understanding of communicating data insights. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
An analyst is creating a report to show the relationship between advertising spend and website traffic over the past 12 months. The data has a few outliers due to special promotional events. Which chart type should the analyst use to clearly show the trend while minimizing the impact of outliers?
Pie chart
Why wrong: Pie charts show proportions, not relationships.
Bar chart
Why wrong: Bar charts are for categorical comparisons, not trends.
Heatmap
Why wrong: Heatmaps are for matrix data, not time series relationships.
Scatter plot with a trend line
Scatter plots show the relationship and outliers; a trend line summarizes the pattern.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Scatter plot with a trend line
A scatter plot with a trend line (Option D) is the best choice because it plots each data point individually, allowing the analyst to see the overall relationship between advertising spend and website traffic while the trend line (often a linear regression line) smooths out the influence of outliers. This chart type minimizes the visual impact of extreme values by focusing on the central tendency and direction of the data, making it ideal for identifying trends over 12 months despite promotional event spikes.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Pie chart
Why it's wrong here
Pie charts show proportions, not relationships.
Bar chart
Why it's wrong here
Bar charts are for categorical comparisons, not trends.
Heatmap
Why it's wrong here
Heatmaps are for matrix data, not time series relationships.
Scatter plot with a trend line
Why this is correct
Scatter plots show the relationship and outliers; a trend line summarizes the pattern.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often choose a bar chart (Option B) thinking it clearly shows trends over time, but they overlook that bar charts treat each period as a separate category and do not inherently reduce outlier impact, whereas a scatter plot with a trend line explicitly models the relationship and dampens outlier effects.
Trap categories for this question
Command / output trap
Pie charts show proportions, not relationships.
Detailed technical explanation
Under the hood, a scatter plot with a trend line uses a regression model (e.g., ordinary least squares) to fit a line that minimizes the sum of squared residuals, which inherently reduces the leverage of outliers compared to a simple line chart connecting all points. In real-world analytics, this approach is critical when promotional events cause temporary spikes; the trend line reveals the underlying baseline relationship, allowing stakeholders to assess ROI without being misled by anomalous periods. The DA0-001 exam emphasizes that scatter plots are the go-to for bivariate relationships, especially when outliers are present, as they support robust trend identification through statistical smoothing.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
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FAQ
Communicating Data Insights — This question tests Communicating Data Insights — Read the scenario before looking for a memorised answer..
The correct answer is: Scatter plot with a trend line — A scatter plot with a trend line (Option D) is the best choice because it plots each data point individually, allowing the analyst to see the overall relationship between advertising spend and website traffic while the trend line (often a linear regression line) smooths out the influence of outliers. This chart type minimizes the visual impact of extreme values by focusing on the central tendency and direction of the data, making it ideal for identifying trends over 12 months despite promotional event spikes.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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