A table paired with signals a shifted exponential model: the base acts on the part of above the fixed shift . Fit the table with a Desmos regression, then evaluate the requested input. Don't divide consecutive values to find , because the added changes those ratios. A half-interval in the exponent calls for a square root.
Hints
- Hint 1
As increases by hours, increases by . The base multiplies , not the entire output . Why wouldn't ratios of the listed values give you ?
- Hint 2
A regression finds unknown constants from known data. Put the two columns in a Desmos table and fit the stated form with . Keep the so Desmos finds the shift along with and .
- Hint 3
At , the exponent includes a half step. A power of is a square root. How can you split into a whole number and ?
Step-by-step
Approach 1: Fit the model in Desmos
- Step 1
Identify what the base multiplies
Each table input rises by , so rises by per two-hour step. The shift sits outside the power, so multiplies , not the full value of . Ratios of the listed values won't give you .
- Step 2
Find the constants from the table
Put the given pairs in a Desmos table and type . The tells Desmos to run a regression, fitting the constants to the rows. Under PARAMETERS, it gives , , and . Include the shift in what you type; the full outputs don't double.
- Step 3
Handle the half-interval exactly
At , rewrite the exponent as three whole steps and half another: . A half power is a square root, so split the power: . Simplify the whole-number power: . Don't round the square root when the choices are exact.
- Step 4
Evaluate the seven-hour prediction
Type , then . Desmos shows ; means the model's output at hour . Use the power from the previous step for the exact value: . Multiply the coefficients: . The predicted concentration index after hours is . Choice B.
Approach 2: Recover the shift from the changes
- Step 1
Find the changes between rows
Subtract consecutive outputs. These differences let you work around the unknown fixed shift:
. The changes double even though the outputs themselves don't.
- Step 2
See why the differences reveal the base
For the first two rows, subtract the model outputs; the fixed cancels:
. For the next pair, cancel the same shift:
. So the second change contains one extra factor of .
- Step 3
Find the two-hour factor
Because is times , divide the changes:
. This is the factor for the exponential part every two hours, not every hour.
- Step 4
Find the coefficient
The first change is . Since , the factor is , so equals that first change:
- Step 5
Find the fixed shift
At , the power is , so the first row gives: . Substitute : . Subtract : . The negative shift explains why the listed outputs don't double.
- Step 6
Predict the output at hour seven
Put the constants and into the model: . Split the exponent into three whole steps and a half step: . Multiply the coefficients: . So the seven-hour concentration index is . Choice B.