Answer:
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??. What can’t you get
The least and highest value of the house before being rounded are £184999 and £175000 respectively.
The initial value of Sue's house before the increase is £205,000
£180,000 correct to 2 significant figures :
The greatest value of the house would be a sum in which the third significant figure is a value less than 5 and the succeeding values are highest
The least value of house would be a sum in which the third significant value is 5 and the succeeding values are lowest.
2.)
Let the price before the increase = p
- Price after increase = £219350
7% of p = 219350
(1+7%) × p = 219350
1.07p = 219350
p = 219350 / 1.07
p = £205,000
Therefore, the price of the house before the increase is p = £205,000
Learn more : brainly.com/question/25338987
Based on the data, the most likely correlation coefficient would be -1.
The slope between 20 and 30 days is -1, and it represents the change in the surface area of the lake per day.
The data represents correlation, not causation.
Since the data would form a perfectly straight line through the points, the correlation coefficient would be -1 for a perfect decreasing fit.
To find the slope, find the change in the surface area between those days, the change in the days, and write it as surface area/days: 80-90=-10; 30-20=10; -10/10=-1
This is not causation because there could be lurking variables we cannot see.