Question

temp (°f) 79 79 73 68 62 57 58 58 62 67 73 77
precipitation (in.) 3.4 3.4 4.6 3.6 3.1 2.2 2.2 2.7 3.5 3.5 3.3 3.7
if both cities are located around 37 degrees away from the equator, what factors might be impacting the temperatures?
position proximity to water: which data set is probably closer to water? data 1/data 2
seasons: which data set is probably in the southern hemisphere? data 1/data 2
elevation: which city is probably more elevated? data 1/data 2
which data set is moline, illinois (38 n, 90 w)? data 1/data 2
which data set is buenos aires, argentina (36 s, 58 w)? data 1/data 2
independent practice
data i:
temp (°f) 29 33 40 50 59 70 77 74 66 54 41 30
precipitation (in.) 0.3 0.6 1.0 1.8 2.5 2.8 2.7 2.5 1.6 1.0 0.6 0.6

Explanation:

1. Factors impacting temperatures: At similar latitudes, factors like ocean - currents, elevation, prevailing winds, and proximity to large water bodies can affect temperatures.
2. Proximity to water: Areas closer to water tend to have more moderate temperature changes. If one data - set has less extreme temperature variations, it is probably closer to water.
3. Southern hemisphere: In the Southern hemisphere, seasons are opposite to the Northern hemisphere. If a data - set has warm temperatures in June - August, it is likely in the Southern hemisphere.
4. Elevation: Higher elevation areas generally have lower average temperatures. If one data - set has consistently lower temperatures, it may be at a higher elevation.
5. Identifying cities: Based on typical climate patterns and the fact that Moline, Illinois is in the Northern hemisphere and Buenos Aires, Argentina is in the Southern hemisphere, we can match the data - sets.

However, without specific data - set labels for the initial table, we can't give definitive answers. But if we assume the first set of questions refers to the top - most table and the independent practice data is Data 1 and Data 2:

• Data 1 has a more typical Northern hemisphere temperature pattern with cold winters and warm summers. Data 2 (top - most table) has more moderate temperature changes which could indicate proximity to water. Also, if we assume the seasons in Data 2 are opposite to normal Northern hemisphere seasons, it could be in the Southern hemisphere. Higher elevation would likely lead to lower average temperatures, so if one data - set has consistently lower temps it's more elevated. Moline is likely Data 1 (Northern hemisphere) and Buenos Aires is likely Data 2 (Southern hemisphere).

Answer:

1. Factors: Ocean - currents, elevation, winds, proximity to water.
2. Proximity to water: Data 2 (assuming more moderate temps).
3. Southern hemisphere: Data 2 (assuming opposite seasons).
4. Elevation: (Insufficient data to determine precisely, but if one has lower temps, that one).
5. Moline: Data 1; Buenos Aires: Data 2.