Photo AI

Truck drivers travel a certain distance and have a rest before travelling further - NSC Mathematics - Question 1 - 2023 - Paper 2

Question icon

Question 1

Truck-drivers-travel-a-certain-distance-and-have-a-rest-before-travelling-further-NSC Mathematics-Question 1-2023-Paper 2.png

Truck drivers travel a certain distance and have a rest before travelling further. A driver kept record of the distance he travelled (in km) on 8 trips and the amoun... show full transcript

Worked Solution & Example Answer:Truck drivers travel a certain distance and have a rest before travelling further - NSC Mathematics - Question 1 - 2023 - Paper 2

Step 1

1.1 Determine the equation of the least squares regression line for the data.

96%

114 rated

Answer

To find the least squares regression line, we compute the slope (b) and y-intercept (a) using the following formulas:

  1. Calculate the slope:

    b = rac{n( ext{Σ}(xy)) - ( ext{Σ}x)( ext{Σ}y)}{n( ext{Σ}(x^2)) - ( ext{Σ}x)^2}

    where n is the number of data points.

  2. Calculate the y-intercept:

    a = ar{y} - bar{x}

After calculating, we find the equation of the regression line as: y=23.85+0.23xy = -23.85 + 0.23x

Step 2

1.2 If a truck driver travelled 550 km, predict the amount of time (in minutes) that he should rest before continuing his journey.

99%

104 rated

Answer

To predict the rest time for a distance of 550 km, substitute x = 550 into the regression equation:

ar{y} = -23.85 + 0.23(550) = 102.65 ext{ minutes}

Step 3

1.3 Write down the correlation coefficient for the data.

96%

101 rated

Answer

The correlation coefficient (r) for the data is 0.98, indicating a very strong positive correlation.

Step 4

1.4 Interpret your answer to QUESTION 1.3.

98%

120 rated

Answer

The correlation coefficient of 0.98 suggests a very strong positive relationship between the distance travelled and the amount of rest time. This implies that as the distance increases, the amount of time spent resting also increases significantly.

Step 5

1.5.1 Calculate the mean amount of money he spent at each stop.

97%

117 rated

Answer

To calculate the mean amount spent: ar{x} = rac{ ext{Σ}x}{n} = rac{1200}{8} = 150 ext{ rands}

Step 6

1.5.2 Calculate the standard deviation for the data.

97%

121 rated

Answer

The standard deviation (σ) can be calculated using the formula:

σ = rac{ ext{Σ}(x - ar{x})^2}{n - 1} = 50.50 ext{ rands}

Step 7

1.5.3 How many stops did the driver spend an amount that was less than one standard deviation below the mean?

96%

114 rated

Answer

One standard deviation below the mean: ar{x} - σ = 150 - 50.50 = 99.50 ext{ rands}

The number of stops with amounts less than 99.50 is 1.

Join the NSC students using SimpleStudy...

97% of Students

Report Improved Results

98% of Students

Recommend to friends

100,000+

Students Supported

1 Million+

Questions answered

;