PIVOT POINT BUNDLED EXAMS EXAMS SET
2026 FULL SOLUTIONS AND VERIFIED
ANSWERS GRADED A+
⩥ Regression Models. Answer: In tableau they are represented in the
form of trend lines
It is a statistical modeling technique used to estimate trends/relationships
between variables
⩥ Logarithmic. Answer: When a trend increases then levels off (only
positive values)
⩥ Linear. Answer: shows the relationship between variables (either
increasing or decreasing)
⩥ Exponential. Answer: the rate of change rises at increasingly higher
rates (positive only)
⩥ Polynomial. Answer: when variables have a fluctuating relationship
(revenue over time)
⩥ Power. Answer: When the dependent variable (y) changes at a
predetermined rate
, ⩥ R-squared. Answer: explains how the variance of one variable
explains the variance of another. R2 ranges from 0-1, and closer to 1 is
better.
⩥ P value. Answer: · is the probability of obtaining results as extreme as
observed results. P value ranges from 0-1, and a value of <.05 is good. It
means the trendline is an accurate predictor of future trends.
⩥ Forecasting. Answer: algorithms evaluate patterns in historical data to
a project potential future data point. -> drag and drop forecast tools from
the analytics pane -> choose forecast length
⩥ order of operations tableau uses to calculate. Answer: 1. Extract
Filters
2. Data Source Filters
3. Context Filters
4. Dimension Filters
5. Measure Filters
6. Table Calc Filter
⩥ Calculated Fields can. Answer: Segment data, convert field types,
aggregate data, filter results, calculate new metrics
2026 FULL SOLUTIONS AND VERIFIED
ANSWERS GRADED A+
⩥ Regression Models. Answer: In tableau they are represented in the
form of trend lines
It is a statistical modeling technique used to estimate trends/relationships
between variables
⩥ Logarithmic. Answer: When a trend increases then levels off (only
positive values)
⩥ Linear. Answer: shows the relationship between variables (either
increasing or decreasing)
⩥ Exponential. Answer: the rate of change rises at increasingly higher
rates (positive only)
⩥ Polynomial. Answer: when variables have a fluctuating relationship
(revenue over time)
⩥ Power. Answer: When the dependent variable (y) changes at a
predetermined rate
, ⩥ R-squared. Answer: explains how the variance of one variable
explains the variance of another. R2 ranges from 0-1, and closer to 1 is
better.
⩥ P value. Answer: · is the probability of obtaining results as extreme as
observed results. P value ranges from 0-1, and a value of <.05 is good. It
means the trendline is an accurate predictor of future trends.
⩥ Forecasting. Answer: algorithms evaluate patterns in historical data to
a project potential future data point. -> drag and drop forecast tools from
the analytics pane -> choose forecast length
⩥ order of operations tableau uses to calculate. Answer: 1. Extract
Filters
2. Data Source Filters
3. Context Filters
4. Dimension Filters
5. Measure Filters
6. Table Calc Filter
⩥ Calculated Fields can. Answer: Segment data, convert field types,
aggregate data, filter results, calculate new metrics
