You're viewing 4 free preview questions for Maths AI SL — subscribe to unlock 307 more, plus the Full Question Bank, Mock Papers & Worksheets.Upgrade
Inferential Statistics · Paper 1 — Free Maths AI SL Practice Questions
1FoundationSAQ-SRegression analysis5 marksPaper 1~8 min
A researcher studies the relationship between the number of hours a plant is exposed to sunlight each day, x, and the height of the plant after 30 days, y cm. Data collected for six plants is shown below.
x (hours): 1, 2, 3, 4, 5, 6
y (cm): 12, 18, 25, 30, 36, 40
(a)
State the type of regression model that would be most appropriate for this data. [1 mark]
(b)
Calculate the equation of the regression line of y on x, giving the values of a and b in y=ax+b correct to three significant figures. [2 marks]
(c)
A plant receives x=8 hours of sunlight per day. A student uses the regression equation to predict its height after 30 days and states: "The model predicts a height of 52.5 cm, so this is a reliable estimate."
Evaluate the reliability of this prediction. [2 marks]
Solutions
2FoundationSAQ-SRegression analysis4 marksPaper 1~6 min
A student investigates the relationship between the age of a car, x years, and its selling price, y thousand dollars. Data for five cars are shown in the table below.
Age x (years) — 1 — 2 — 3 — 4 — 5
Price y (thousand dollars) — 18 — 15 — 12 — 9 — 6
The regression line of y on x is y=21.0−3.00x.
(a)
State the type of correlation between the age and selling price of a car. [1 mark]
(b)
A car is 4.5 years old. Calculate its predicted selling price in dollars. [2 marks]
(c)
The actual selling price of the 4.5-year-old car is USD 6000.
(i) Calculate the residual for this car in dollars. [1]
(ii) State what the sign of the residual indicates about the regression line's prediction for this car. [1 mark]
Solutions
3MasterySAQ-SRegression analysis5 marksPaper 1~8 min
A biologist studies the relationship between temperature (T, in °C) and chirping rate (C, in chirps per minute) of a species of cricket. She collects data for n=8 temperatures and obtains the following summary statistics:
∑T=160,∑C=140,∑T2=3600,∑C2=2800,∑TC=3100
(a)
Show that the Pearson correlation coefficient r≈0.8, correct to 1 decimal place. [3 marks]
(b)
Calculate the coefficient of determination r2. [1 mark]
(c)
Hence explain what the value of r2 indicates about the relationship between temperature and chirping rate. [1 mark]
Solutions
4ChallengeSAQ-LRegression analysis8 marksPaper 1~12 min
A marine biologist studies the relationship between water temperature (T, in °C) and diving depth (D, in metres) for a species of seal. Data from n=12 seals give the following summary statistics:
∑T=96.0,∑D=240,∑T2=824.0,∑D2=5400,∑TD=2100
(a)
Calculate the Pearson correlation coefficient r, correct to three significant figures. [2 marks]
(b)
Determine the equation of the regression line of D on T in the form D=a+bT, with a and b correct to three significant figures. [2 marks]
(c)
Use your regression line to estimate the diving depth when T=9.5°C, giving your answer correct to the nearest metre. [1 mark]
(d)
The biologist claims: "Temperature is a good predictor of diving depth because the correlation is strong."
Evaluate this claim. In your response, refer to your value of r, the reliability of the regression model within the data range, and one limitation of using this model.
The following formulae are provided:
r=n∑T2−(∑T)2n∑D2−(∑D)2n∑TD−(∑T)(∑D)b=n∑T2−(∑T)2n∑TD−(∑T)(∑D),a=Dˉ−bTˉ[3 marks]