The Springdata sample data is a weather record for the month of April The variable Precip measures rainfall Added a column named Rained to categorize rainfall using a formula The condition is that if Precip 2, then Rain , else Dry 1 Generate a histogram and a frequency table of the Rained variable From this cart, what is the probability of Rain in the month of April 2 We want to increase the probability of correct predictions by including other variables Specifically, we want to use morning temperature or barometric pressure to help make more informed predictions Use the Analyze Fit Y by X platform to show cumulative plots for each of the two cases Also show the logistics regression tables each case 3 Using the plots and the tables, draw your conclusions on which of the two factors help(s) in predicting whether or not it rains in April Month Month Date Temp April Humid1 PM Humid4 PM Precip Pressure wrDIR1 PM wDIR4 PM wrSpeed SkyCover Rained 4 APR 1 Apr 39 1 30 28 0 29 6 27 28 4 5 0 Dry 4 APR 2 Apr 53 2 32 29 0 29 51 20 29 10 7 6 Dry 4 APR 3 Apr 50 3 53 86 0 27 29 4 7 86 6 8 8 Rainy 4 APR 4 Apr 43 4 47 42 0 05 29 21 25 42 14 2 10 Rainy 4 APR 5 Apr 42 5 44 48 0 001 29 32 27 48 9 7 8 Dry 4 APR 6 Apr 46 6 42 41 0 001 29 33 29 41 10 5 7 Dry 4 APR 7 Apr 52 7 40 37 0 29 3 27 37 8 8 3 Dry 4 APR 8 Apr 59 8 36 23 0 29 31 30 23 6 7 3 Dry 4 APR 9 Apr 56 9 31 25 0 29 33 34 25 3 3 3 Dry 4 APR 10 Apr 57 10 27 23 0 29 41 22 23 1 1 0 Dry 4 APR 11 Apr 62 11 42 43 0 08 29 36 17 43 6 3 8 Rainy 4 APR 12 Apr 66 12 45 66 0 23 29 38 22 66 6 8 8 Rainy 4 APR 13 Apr 61 13 35 31 0 29 58 34 31 3 6 2 Dry 4 APR 14 Apr 58 14 58 52 0 001 29 71 11 52 9 6 10 Dry 4 APR 15 Apr 58 15 93 90 2 14 29 4 12 90 12 8 10 Rainy 4 APR 16 Apr 61 16 76 46 0 97 29 08 15 46 3 9 Rainy 4 APR 17 Apr 57 17 56 58 0 12 29 11 17 58 2 2 10 Rainy 4 APR 18 Apr 57 18 90 93 0 09 29 33 1 93 7 9 10 Rainy 4 APR 19 Apr 63 19 76 70 0 001 29 51 1 70 10 4 9 Dry 4 APR 20 Apr 65 20 55 50 0 29 56 2 50 9 8 6 Dry 4 APR 21 Apr 65 21 61 57 0 001 29 53 36 57 7 8 8 Dry 4 APR 22 Apr 68 22 38 37 0 29 51 6 37 3 1 5 Dry 4 APR 23 Apr 64 23 76 71 0 001 29 53 9 71 6 7 10 Dry 4 APR 24 Apr 63 24 93 93 0 71 29 34 12 93 3 6 10 Rainy 4 APR 25 Apr 53 25 83 86 0 02 29 52 3 86 13 8 10 Dry 4 APR 26 Apr 54 26 46 27 0 001 29 67 1 27 12 5 4 Dry 4 APR 27 Apr 55 27 24 23 0 29 64 3 23 2 3 Dry 4 APR 28 Apr 57 28 27 23 0 29 47 33 23 7 4 Dry 4 APR 29 Apr 57 29 22 22 0 29 45 24 22 10 5 0 Dry 4 APR 30 Apr 72 30 32 30 0 29 33 26 30 4 6 3 Dry

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Question: The Springdata sample data is a weather record for the month of April. The variable Precip measures rainfall. Added a column named Rained to categorize

The Springdata sample data is a weather record for the month of April. The variable Precip measures rainfall. Added a column named "Rained" to categorize rainfall using a formula.

The condition is that if Precip > 2, then "Rain", else "Dry"

1.Generate a histogram and a frequency table of the Rained variable. From this cart, what is the probability of Rain in the month of April?

2. We want to increase the probability of correct predictions by including other variables. Specifically, we want to use morning temperature or barometric pressure to help make more informed predictions. Use the Analyze > Fit Y by X platform to show cumulative plots for each of the two cases. Also show the logistics regression tables each case.

3.Using the plots and the tables, draw your conclusions on which of the two factors help(s) in predicting whether or not it rains in April.

Month #	Month	Date	Temp	April	Humid1:PM	Humid4:PM	Precip	Pressure	wrDIR1:PM	wDIR4:PM	wrSpeed	SkyCover	Rained
4	APR	1-Apr	39	1	30	28	0	29.6	27	28	4.5	0	Dry
4	APR	2-Apr	53	2	32	29	0	29.51	20	29	10.7	6	Dry
4	APR	3-Apr	50	3	53	86	0.27	29.4	7	86	6.8	8	Rainy
4	APR	4-Apr	43	4	47	42	0.05	29.21	25	42	14.2	10	Rainy
4	APR	5-Apr	42	5	44	48	0.001	29.32	27	48	9.7	8	Dry
4	APR	6-Apr	46	6	42	41	0.001	29.33	29	41	10.5	7	Dry
4	APR	7-Apr	52	7	40	37	0	29.3	27	37	8.8	3	Dry
4	APR	8-Apr	59	8	36	23	0	29.31	30	23	6.7	3	Dry
4	APR	9-Apr	56	9	31	25	0	29.33	34	25	3.3	3	Dry
4	APR	10-Apr	57	10	27	23	0	29.41	22	23	1.1	0	Dry
4	APR	11-Apr	62	11	42	43	0.08	29.36	17	43	6.3	8	Rainy
4	APR	12-Apr	66	12	45	66	0.23	29.38	22	66	6.8	8	Rainy
4	APR	13-Apr	61	13	35	31	0	29.58	34	31	3.6	2	Dry
4	APR	14-Apr	58	14	58	52	0.001	29.71	11	52	9.6	10	Dry
4	APR	15-Apr	58	15	93	90	2.14	29.4	12	90	12.8	10	Rainy
4	APR	16-Apr	61	16	76	46	0.97	29.08	15	46	3	9	Rainy
4	APR	17-Apr	57	17	56	58	0.12	29.11	17	58	2.2	10	Rainy
4	APR	18-Apr	57	18	90	93	0.09	29.33	1	93	7.9	10	Rainy
4	APR	19-Apr	63	19	76	70	0.001	29.51	1	70	10.4	9	Dry
4	APR	20-Apr	65	20	55	50	0	29.56	2	50	9.8	6	Dry
4	APR	21-Apr	65	21	61	57	0.001	29.53	36	57	7.8	8	Dry
4	APR	22-Apr	68	22	38	37	0	29.51	6	37	3.1	5	Dry
4	APR	23-Apr	64	23	76	71	0.001	29.53	9	71	6.7	10	Dry
4	APR	24-Apr	63	24	93	93	0.71	29.34	12	93	3.6	10	Rainy
4	APR	25-Apr	53	25	83	86	0.02	29.52	3	86	13.8	10	Dry
4	APR	26-Apr	54	26	46	27	0.001	29.67	1	27	12.5	4	Dry
4	APR	27-Apr	55	27	24	23	0	29.64	3	23	2	3	Dry
4	APR	28-Apr	57	28	27	23	0	29.47	33	23	7	4	Dry
4	APR	29-Apr	57	29	22	22	0	29.45	24	22	10.5	0	Dry
4	APR	30-Apr	72	30	32	30	0	29.33	26	30	4.6	3	Dry

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