Using the data below:

1) Compute the least squares regression line. Round coefficients to four decimal places. 2) Interpret the slope. You may convert numbers in a way that creates a more "understandable" state- ment if you choose. 3) Interpret the y-intercept. Round the intercept to one decimal place in your interpretation. 4) Compute R. Round to four decimal places. 5) Compute R2. Interpret this value. Round to four decimal places. 6) Use your values from 4) and 5) to describe the strength and direction of the data. 7) Use your model from 1) to determine the maximum temperature expected at an elevation of 2000f t? Round final answer to one decimal place. 8) Use your model from 1) to determine at what elevation you would expect the maximum temperature to be 46F . Round final answer to the nearest whole number. 9) Produce a scatterplot of the data that includes the least squares line

Station	Elevation	Maximum Temperature
Astoria	11	49
Portland Airport	27	50
Troutdale	35	49
Hillsboro	204	48
Aurora	196	49
McMinnville	160	48
Salem	210	48
Corvallis	246	49
Eugene	369	49
North Bend	11	50
Brookings Arpt	459	54
Roseburg	525	48
Medford	1330	48
Klamath Falls	4090	46
Lakeview	4730	39
Bend Airport	3454	41
Hermiston	640	50
La Grande	2700	43
Meacham	3726	37
Pendleton Airport	1495	49
Redmond	3077	45
The Dalles	250	52
John Day Airport	3700	39
Prineville Airport	3250	41
Madras Airport	2427	45
Sisters Airport	3152	41
Sunriver Airport	4152	37
Lexington Airport	1624	48
Baker City	3370	43
Burns	4140	35
Rome	4050	37