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05 Jul 2026, 10:10
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Dropdown 1: inflation rate computation from other parameters
Dropdown 2: October
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
95%
(hard)
Question Stats:
14% (01:44) correct
86%
(02:31)
wrong
based on 314
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The graph shows \(52\) data points, one for each week, each data point indicating the mean deviation of inflation rate in India in that particular week. Mean deviation of inflation rate is measured as inflation rate for the week less annual mean inflation rate. The graph also shows line of best fit for the datapoints.
Based on the given information use the drop-down menus to most accurately complete the following statements:
1. Before concluding that mean inflation rate is rising, it would be helpful to see more comprehensive graph of same period that shows
2. The conclusion that mean inflation rate has risen over the year would be most weakened if set of measurement in are revised towards current line of best fit.
GMAT-Club-Forum-mrv5r4oe.png [ 216.29 KiB | Viewed 1144 times ]
Based on the given information use the drop-down menus to most accurately complete the following statements:
1. Before concluding that mean inflation rate is rising, it would be helpful to see more comprehensive graph of same period that shows
2. The conclusion that mean inflation rate has risen over the year would be most weakened if set of measurement in are revised towards current line of best fit.
Attachment:
GMAT-Club-Forum-mrv5r4oe.png [ 216.29 KiB | Viewed 1144 times ]
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Dropdown 1: inflation rate computation from other parameters
Dropdown 2: October
05 Jul 2026, 23:23
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Okay this one's sneaky because it looks like a "read the graph" question but it's actually testing whether you know when NOT to trust a graph. Classic Data Insights trap.
First blank: before you buy into "mean inflation rate is rising" just because the line of best fit slopes upward, ask yourself what that line is actually built from. The graph plots deviation from the annual mean, not raw inflation. If the way inflation itself gets computed shifts even a little week to week (different basket weighting, revised parameters, whatever), you'd get a rising-looking trend that has nothing to do with real inflation movement. So the answer here is "inflation rate computation from other parameters." You're not doubting the math on the graph, you're doubting whether the input feeding the graph is even stable.
Second blank, this is the one that got me thinking twice. The question asks which month's data, if revised toward the line of best fit, would most weaken the "rising" story. Look at where the actual dot sits furthest above the trend line late in the year. That's October, sitting well above where the fit line says it should be. That elevated point is doing a lot of the heavy lifting in making the second half of the year look higher than the first half. Pull it down to the line and a chunk of that "rise" evaporates.
I got this wrong the first time I saw a question like this because I was scanning left to right for the biggest visual dip instead of asking which point has the most leverage on the slope. Points near the ends of a data range always swing a trend line harder than points in the middle, worth remembering for any G&T question with a fit line.
Takeaway: when a DI question shows you a trend line, the trap isn't reading the graph wrong, it's trusting the line before you've questioned what's feeding it.
First blank: before you buy into "mean inflation rate is rising" just because the line of best fit slopes upward, ask yourself what that line is actually built from. The graph plots deviation from the annual mean, not raw inflation. If the way inflation itself gets computed shifts even a little week to week (different basket weighting, revised parameters, whatever), you'd get a rising-looking trend that has nothing to do with real inflation movement. So the answer here is "inflation rate computation from other parameters." You're not doubting the math on the graph, you're doubting whether the input feeding the graph is even stable.
Second blank, this is the one that got me thinking twice. The question asks which month's data, if revised toward the line of best fit, would most weaken the "rising" story. Look at where the actual dot sits furthest above the trend line late in the year. That's October, sitting well above where the fit line says it should be. That elevated point is doing a lot of the heavy lifting in making the second half of the year look higher than the first half. Pull it down to the line and a chunk of that "rise" evaporates.
I got this wrong the first time I saw a question like this because I was scanning left to right for the biggest visual dip instead of asking which point has the most leverage on the slope. Points near the ends of a data range always swing a trend line harder than points in the middle, worth remembering for any G&T question with a fit line.
Takeaway: when a DI question shows you a trend line, the trap isn't reading the graph wrong, it's trusting the line before you've questioned what's feeding it.
06 Jul 2026, 22:32
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Is the January month the unit preceding it in the graph? Also how does aligning Oct to trend line solve weaken the mean deviation increase?
