S1 June 2014 Q3
3. The table shows data on the number of visitors to the UK in a month, \(v\) (1000s), and the amount of money they spent, \(m\) (£ millions), for each of 8 months.
| Number of visitors \(v\) (1000s) | 2450 | 2480 | 2540 | 2420 | 2350 | 2290 | 2400 | 2460 |
|---|---|---|---|---|---|---|---|---|
| Amount of money spent \(m\) (£ millions) | 1370 | 1350 | 1400 | 1330 | 1270 | 1210 | 1330 | 1350 |
You may use
\[S_{vv} = 42587.5 \quad S_{vm} = 31512.5 \quad S_{mm} = 25187.5 \quad \sum v = 19390 \quad \sum m = 10610\]| Scheme | Marks |
|---|---|
| \(r = \dfrac{31512.5}{\sqrt{42587.5\times 25187.5}} = 0.962\) awrt 0.962 | M1 A1 |
| (2) |
Notes
M1 for a correct expression for \(r\). Ans only of 0.96 or awrt 0.96 is M1A0. Ans only of 0.962 or awrt 0.962 is M1A1. Do not allow fractions for A1
| Scheme | Marks |
|---|---|
| \(r\) is close to 1 or a strong correlation. [“points are close to a straight line” isB0] [Just “positive” correlation is B0] [Use of “relationship” or “skew” not “correlation” is B0] | B1 |
| (1) |
Notes
B1 for comment implying strong correlation. (e.g. big/high/clear etc) B0 if \(|r| \gt 1\)
| Scheme | Marks |
|---|---|
| \(b = \dfrac{31512.5}{42587.5} = 0.739947\ldots = 0.740\) (3 dp) 0.740 (only) | M1 A1cao |
| (2) |
Notes
M1 for a correct expression for \(b\) (may be implied by 0.74 or better in regression equation)
A1 A1 for 0.740 only in (c) or \(b = 0.740\) seen elsewhere (M1A0 for \(\dfrac{2521}{3407}\) or awrt 0.74 here)
| Scheme | Marks |
|---|---|
| \(a = 1326.25 - (0.7399\ldots\times 2423.75)\) \([= -467.2\) or awrt \(-467]\) | M1 |
| So \(\boldsymbol{m = -467 + 0.74v}\) | A1 |
| (2) |
Notes
M1 for 1326.25 – (‘their \(b\)’ \(\times\) 2423.75) Condone fractions or awrt 1330 for \(\bar{m}\) and awrt 2420 for \(\bar{v}\)
A1 for a correct equation in \(m\) and \(v\) with \(a\) = awrt \(-467\) and \(b\) = awrt 0.74. Condone \(\frac{2521}{3407}\) for \(b\) and \(\frac{-1591740}{3407}\) for \(a\). [Equation in \(y\) and \(x\) is A0]
| Scheme | Marks |
|---|---|
| \(b\) is the money (spent) per visitor. (i.e. definition of a rate in words.)[ignore values] | B1 |
| So each 1000 visitors generates an extra £0.74 million or each visitor spends £740 oe | B1ft |
| (2) |
Notes
1st B1 for a correct definition of the rate in words. Must state or imply “money per visitor”. Allow alternative words or symbols e.g. £ or “pounds” for money, “people” for visitors etc
2nd B1ft for a correct numerical rate (ft their value of \(b\))
e.g. “each visitor spends £740” is B1B1, “\(b\) is the extra money spent per visitor” is B1B0 [no values]
“\(b\) is increase of £0.74 million in \(m\) as \(v\) increases by 1000” is B0B1[£ for money but no “visitors”]
“increase in \(m\) as \(v\) increases” is B0B0 [Idea of rate but letters not words and no numerical value of rate]
| Scheme | Marks |
|---|---|
| \(m = -467 + 0.74\times 2500\) | M1 |
| \(m = 1383\) (£ million) awrt 1380 | A1 |
| (2) |
Notes
M1 sub. \(v = 2500\) into their equation. Simply substituting 2 500 000 is M0 (unless adjusted eqn)
A1 awrt 1380 units (£ and million not required)
| Scheme | Marks |
|---|---|
| As 2500 is within the range of the data set or it involves interpolation. | B1 |
| The value of money spent is reliable | dB1 |
| (2) | |
| (13 marks) |
Notes
1st B1 for 2500 or 2 500 000 or visitors or \(v\) is in range. “it” is B0 unless \(v\) clearly implied
2nd dB1 for stating it is reliable. Dependent on previous B mark being awarded
“both \(v\) and \(m\) in range” or “1380 in range” is B0 but use ISW so “interpolation since both in range” scores B1 for the “interpolation”. “Not extrapolation” counts as “interpolation”