Zadanie 1a
Find a and b for the least-squares line of T on L, T=aL+b.
Interpret linear association and Pearson correlation, obtain a regression of y on x and assess prediction limits.
Tę umiejętność sprawdza 27 zadań wzorowanych na arkuszach IB z lat 2022–2026.
Find a and b for the least-squares line of T on L, T=aL+b.
State Pearson’s correlation coefficient.
Predict the cooling time at 1150 revolutions per minute using the regression of T on L.
Find a and b.
Use this model to estimate the energy use of a 12-hour cycle.
Find the mean height and the mean crown width.
Find (i) the mean power and mean rise; (ii) the equation of Model A.
Find a and b for Model B.
Use Model B to estimate the temperature rise at 140 W.
Find (i) the mean of y; (ii) p.
Hence find Pearson’s correlation coefficient.
Verify that the mean y is 14.
Find p and q.
Find Pearson’s correlation coefficient.
The technician substitutes x=10 into the given regression line to predict y. Give one reason this is inappropriate.
(i) Find the regression coefficients a,b for p on t. (ii) Interpret a.
The regression predicts 24.96 MW for 2036 (t=24). Comment on its reliability.
(i) Find a,b for the least-squares regression of p on t. (ii) Interpret a in context.
The linear model predicts 23.94 MW for 2034, when t=24. Comment on the reliability of this prediction.
Find a, b for the least-squares regression E = at + b.
State the Pearson correlation coefficient.
Use the regression to predict stored energy at t = 18.
(i) Predict c when a=44. (ii) Find the mean of the a readings.
Use the least-squares regression S=at+b for B to show that its modelled grant in 2025 exceeds A’s.
Find a and b.
State the Pearson correlation coefficient.
Predict the output at input 25, to the nearest integer.
Zapisujemy na Twoim urządzeniu to, bez czego serwis nie działa, np. zalogowanie. Plików analitycznych użyjemy tylko za Twoją zgodą. Szczegóły w polityce prywatności.